CN118316925A - Data processing method, device, readable medium and equipment based on distributed nodes - Google Patents

Abstract

The embodiments of the present application provide a data processing method, device, readable medium and equipment based on distributed nodes. The data processing method based on distributed nodes includes: receiving share data sent by blockchain participants, the share data is obtained by the blockchain participants through secret sharing of the data to be processed; processing the share data to obtain the share processing result, and obtaining the share processing result obtained by other distributed nodes processing the received share data; reorganizing the obtained share processing results to obtain the processing results corresponding to the data to be processed; and up-chaining the processing results so that the blockchain participants can obtain the processing results from the blockchain. The technical solution of the embodiments of the present application realizes that the private data can still be used without disclosing the private data, thereby improving the security of the private data.

Description

Data processing method, device, readable medium and equipment based on distributed nodes

Technical Field

The present application relates to the field of computer technology, and in particular to a data processing method, apparatus, readable medium and device based on distributed nodes.

Background technique

Private data contains sensitive information that the owner does not want to be disclosed, including sensitive data and the characteristics represented by the data. Due to the particularity of private data, the owner hopes that the private data can be "available but invisible" to other objects, that is, other objects can perform calculations on the private data, but do not want anyone or any system to spy on the private data.

In the scenario of multi-party collaboration, when multiple business parties on the blockchain execute business processes, they often need to jointly calculate private data such as commercial secrets or object sensitive information. At this time, the blockchain needs to have the ability of multi-party privacy computing to ensure data security. Therefore, when it comes to issues such as commercial confidential data, how to achieve secure computing of private data needs to be solved urgently.

Summary of the invention

The embodiments of the present application provide a data processing method, apparatus, readable medium and device based on distributed nodes, so that private data can still be used without being disclosed, thereby improving the security of the data.

Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

According to one aspect of an embodiment of the present application, a data processing method based on a distributed node is provided, the method comprising:

Receiving share data sent by a blockchain participant, where the share data is obtained by the blockchain participant through secret sharing of data to be processed;

Processing the share data to obtain a share processing result, and obtaining a share processing result obtained by other distributed nodes processing the received share data;

Reorganize the acquired share processing results to obtain the processing results corresponding to the data to be processed;

The processing result is uploaded to the blockchain so that the blockchain participants can obtain the processing result from the blockchain.

According to one aspect of an embodiment of the present application, a data processing method based on a distributed node is provided, the method comprising:

Receiving share data sent by a blockchain participant, where the share data is obtained by the blockchain participant through secret sharing of data to be processed;

Processing the share data to obtain a share processing result;

The share processing result is sent to the designated distributed node, so that the designated distributed node reorganizes the share processing results sent by multiple distributed nodes to obtain the processing result corresponding to the data to be processed, and processes the processing result on the chain.

According to one aspect of an embodiment of the present application, a data processing method based on a distributed node is provided, the method comprising:

Get the data to be processed;

Perform secret sharing processing on the data to be processed to obtain multiple share data;

Send the multiple share data to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain;

The processing result is obtained from the blockchain.

According to one aspect of an embodiment of the present application, a data processing device based on a distributed node is provided, the device comprising:

A receiving module, used to receive share data sent by a blockchain participant, where the share data is obtained by the blockchain participant through secret sharing of data to be processed;

A processing module, used to process the share data to obtain a share processing result, and obtain the share processing results obtained by other distributed nodes processing the received share data;

A reorganization module, used to reorganize the acquired share processing results to obtain processing results corresponding to the data to be processed;

The on-chain module is used to process the processing results on the chain so that the blockchain participants can obtain the processing results from the blockchain.

In some embodiments of the present application, based on the above technical solution, a smart contract for processing the share data is deployed on the distributed node, and the processing module is also used to use the share data as a contract parameter, call the smart contract to process the contract parameter, and obtain the share processing result.

In some embodiments of the present application, based on the above technical solution, the reorganization module is also used to select a set number of share processing results from the share processing results, and the set number is at least more than half of the number of shares obtained by secret sharing of the data to be processed; and reorganize the set number of share processing results to obtain the processing results corresponding to the data to be processed.

In some embodiments of the present application, based on the above technical solution, the device also includes a verification module for receiving a processing task request initiated by the blockchain participant; verifying the signature of the processing task request to verify the identity of the blockchain participant; if the identity authentication of the blockchain participant is passed, the share data is processed.

In some embodiments of the present application, based on the above technical solution, the reorganization module is also used to sign the share processing result and obtain the signature of the other distributed nodes on the share processing result; verify the obtained signature, and use the share processing result that passes the signature verification as the share processing result to be reorganized.

According to one aspect of an embodiment of the present application, a data processing device based on a distributed node is provided, the device comprising:

A receiving module, used to receive share data sent by a blockchain participant, where the share data is obtained by the blockchain participant through secret sharing of data to be processed;

A processing module, used for processing the share data to obtain a share processing result;

The sending module is used to send the share processing results to the designated distributed nodes, so that the designated distributed nodes can reorganize the share processing results sent by multiple distributed nodes to obtain the processing results corresponding to the data to be processed, and upload the processing results to the chain.

According to one aspect of an embodiment of the present application, a data processing device based on a distributed node is provided, the device comprising:

A first acquisition module, used to acquire data to be processed;

A processing module, used for performing secret sharing processing on the data to be processed to obtain a plurality of share data;

A sending module, used to send the plurality of share data to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain;

The second acquisition module is used to obtain the processing result from the blockchain.

In some embodiments of the present application, based on the above technical solution, the device also includes a request module, which is used to initiate a processing task request to the blockchain and upload the processing task request to the blockchain.

In some embodiments of the present application, based on the above technical solution, the request module is also used to notify other blockchain participants to secretly share the corresponding data to be processed of the other blockchain participants to obtain multiple shares of data to be processed, and send the multiple shares of data to be processed to the corresponding distributed nodes respectively.

In some embodiments of the present application, based on the above technical solution, the processing result obtained from the blockchain is encrypted by the public key of the blockchain participant; the second acquisition module is also used to decrypt the processing result using the private key of the blockchain participant to obtain the decrypted processing result.

In some embodiments of the present application, based on the above technical solution, the first acquisition module is also used to obtain the identity information of the blockchain participant; and upload the identity information of the blockchain participant to the chain.

According to one aspect of an embodiment of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the distributed node-based data processing method as described in the above embodiment is implemented.

According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more computer programs, wherein when the one or more computer programs are executed by the one or more processors, the electronic device implements the data processing method based on distributed nodes as described in the above embodiments.

According to one aspect of an embodiment of the present application, a computer program product is provided, the computer program product comprising a computer program, the computer program being stored in a computer-readable storage medium. A processor of an electronic device reads and executes the computer program from the computer-readable storage medium, so that the electronic device executes the data processing method based on distributed nodes provided in the above-mentioned various optional embodiments.

In the technical solutions provided in some embodiments of the present application, the blockchain participants first share the data to be processed secretly to obtain multiple share data, and then distribute the share data to each distributed node, and each distributed node processes the share data to obtain a share processing result. After obtaining the share processing result, the obtained share processing result is reorganized to obtain the processing result corresponding to the data to be processed. Finally, the processing result corresponding to the data to be processed is uploaded to the chain so that the blockchain participants can obtain the processing result from the blockchain. In this way, since the blockchain participants first share the data to be processed secretly and split it into multiple share data, and then distribute the share data to each distributed node for processing, after processing on multiple distributed nodes, the processing results are reorganized, it is achieved that the private data can still be used without disclosing the private data, thereby improving the security of the private data and achieving the purpose of "available but invisible".

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 shows a schematic diagram of an exemplary multi-party private data computation.

FIG. 2 shows a schematic diagram of an exemplary multi-party private data computation.

FIG3 is an optional structural diagram of a distributed system provided in an embodiment of the present application applied to a blockchain system.

FIG. 4 is an optional schematic diagram of a block structure provided in an embodiment of the present application.

FIG5 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG6 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG7 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG8 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG9 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG10 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG. 11 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG. 12 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG. 13 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG. 14 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG15 shows a flowchart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG16 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

FIG. 17 shows a block diagram of a data processing device based on distributed nodes according to an embodiment of the present application.

FIG. 18 shows a block diagram of a data processing device based on distributed nodes according to an embodiment of the present application.

FIG. 19 shows a schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application.

Detailed ways

The exemplary embodiments are now described in a more comprehensive manner with reference to the accompanying drawings. However, the exemplary embodiments can be implemented in various forms and should not be understood as being limited to these examples; on the contrary, the purpose of providing these embodiments is to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

In addition, the features, structures or characteristics described in the present application may be combined in one or more embodiments in any suitable manner. In the following description, there are many specific details so that the embodiments of the present application can be fully understood. However, those skilled in the art will appreciate that when implementing the technical scheme of the present application, all the detailed features in the embodiments may not be needed, one or more specific details may be omitted, or other methods, elements, devices, steps, etc. may be adopted.

The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations/steps, nor must they be executed in the order described. For example, some operations/steps can be decomposed, and some operations/steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

It should be noted that the "multiple" mentioned in this article refers to two or more. "And/or" describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and/or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects before and after are in an "or" relationship.

It is understandable that in the specific implementation of this application, related data such as object information is involved. When the above embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

In order to facilitate understanding of the technical solution of the present application, some abbreviations and key terms are explained as follows:

Blockchain: Blockchain technology is a technical solution that does not rely on a third party and uses its own distributed nodes to store, verify, transmit and communicate network data. Blockchain is a bookkeeping technology that is jointly maintained by multiple parties, uses cryptography to ensure transmission and can achieve consistent data storage, is difficult to tamper with, and prevents denial. It is also called distributed ledger technology.

MPC: (secure multiparty computation) is aimed at the problem of secure multi-party collaborative computing without a trusted third party. That is, in a distributed network, multiple participants each hold secret inputs, and all parties hope to jointly complete the calculation of a certain function. Each participant cannot obtain any input information from other participants except the calculation result.

Specifically, MPC is a cryptographic primitive that operates in a distributed manner. The parties performing the computation split their inputs into secret shares, with each party receiving a share for each input. The parties then operate on these shares, exchanging new intermediate shares corresponding to intermediate values, using some predefined protocol to express the desired function. Finally, the parties reveal the final secret shares to reconstruct the final output of the function.

Secret share: MPC can be thought of as a secret sharing scheme with a set of additional protocols that compute functions on the shares produced by the sharing scheme. A secret share for a value can be decoded to that value, but an individual secret share (or a subset below a configurable threshold) does not leak information about that value.

For secret sharing, for example, the Shamir algorithm can be used. Specifically, on a t-degree polynomial, greater than or equal to t+1 points can uniquely determine the polynomial. If a t-degree polynomial is constructed, the secret value s is used as the value of the polynomial at point x=0, and t unequal (and >0) points on the polynomial are made public and distributed to t participants. Since there are countless polynomials passing through t points, the participants cannot guess the value of the secret s. Any t+1 points on the polynomial can uniquely determine the t-degree polynomial, thereby determining s. For example, n points are distributed to n participants. If more than t of the n participants share these points, the polynomial can be restored, thereby knowing the secret s. In the encryption algorithm based on elliptic curves, G is the elliptic curve point generator, p is the private key, and the public key is Q=p*G.

For example, to implement a (2,3) Shamir secret sharing, you can randomly select a 2nd degree polynomial with t=2, the constant of the polynomial is s, y=a1*x^2+a2*x+s, and then use the values of the polynomial y1, y2, and y3 when x=1, x=2, and x=3 as shares, and any two values of y1, y2, and y3 can restore s (with threshold secret recovery capability). Since Shamir secret sharing is more secure, in a (t,n) sharing, t share values can restore the secret, allowing some n-t shares to be lost, and has disaster recovery capabilities.

In relevant technical solutions, when calculating the privacy data of multiple parties, the following methods are adopted, including trusted third-party solution, Tee trusted hardware solution, zk zero-knowledge proof solution and multi-party secure computing solution. The multi-party secure computing solution includes secret sharing, homomorphic encryption, OT, obfuscated circuits, etc.

For the trusted third party solution, specifically, see Figure 1, which shows a schematic diagram of an exemplary multi-party private data calculation. In this method, the multi-party private data includes the private data corresponding to Bank 1, Bank 2, Bank 3, and the financial institutions. A trusted third party is found, and the private key data is handed over to the third party to perform the calculation. For this type of calculation method, this method is not feasible in real scenarios, because there is no trusted third party in real scenarios. If there is only one third party to perform the calculation, the third party may privately retain the private data, use the private data to make profits, leak the private data, etc. This will seriously damage the security of the data, which is not advisable for commercial confidential data, enterprise sensitive data, personal sensitive data, etc.

For the tee hardware solution, the characteristics of tee are used to achieve "available but invisible". However, this method requires hardware device support, has certain requirements for hardware, and has no cross-platform capabilities. This requires each platform to have its own implementation solution, which has a high development cost and security depends on the platform's implementation.

For the zk zero-knowledge proof scheme, the prover calculates the data and provides proof of the calculation, and the verifier can verify the authenticity of the proof. However, this method is only applicable to two parties and is not applicable to scenarios where multiple parties jointly calculate data.

For the multi-party secure computing scheme, see Figure 2, which shows a schematic diagram of an exemplary multi-party privacy data computing. In this scheme, the homomorphic encryption and obfuscation circuits in the MPC scheme require a large amount of computing and network interaction for the participants, and the computing performance and network bandwidth requirements are high.

Based on this, an embodiment of the present application provides a data processing method based on distributed nodes. The system involved in the data processing scheme of the distributed nodes can be a distributed system formed by connecting a client and multiple nodes (any form of computing devices in the access network, such as servers and user terminals) through network communication.

Taking the distributed system as a blockchain system as an example, see Figure 3, which is an optional structural diagram of the distributed system provided by the embodiment of the present application applied to the blockchain system. The distributed system 100 is formed by multiple nodes (any form of computing devices in the access network, such as servers, user terminals) and clients, and the nodes form a peer-to-peer (P2P, Peer To Peer) network. The P2P protocol is an application layer protocol running on the Transmission Control Protocol (TCP, Transmission Control Protocol) protocol. In a distributed system, any machine such as a server or a terminal can join and become a node, and the node includes a hardware layer, an intermediate layer, an operating system layer, and an application layer.

Referring to the functions of each node in the blockchain system shown in FIG3 , the functions involved include:

1) Routing: a basic function of a node, used to support communication between nodes.

In addition to the routing function, the node can also have the following functions:

2) Applications, which are deployed in the blockchain to implement specific businesses according to actual business needs, record data related to the implementation of functions to form record data, carry digital signatures in the record data to indicate the source of the task data, and send the record data to other nodes in the blockchain system for other nodes to add the record data to the temporary block when they successfully verify the source and integrity of the record data.

For example, the services implemented by the application include:

2.1) Wallet, used to provide the function of conducting electronic currency transactions, including initiating transactions (i.e., sending the transaction record of the current transaction to other nodes in the blockchain system. After the other nodes successfully verify the transaction, as a response to acknowledge the validity of the transaction, the transaction record data is stored in the temporary block of the blockchain; of course, the wallet also supports querying the remaining electronic currency in the electronic currency address;

2.2) Shared ledger, which is used to provide functions such as storage, query and modification of account data. The record data of the operation on the account data is sent to other nodes in the blockchain system. After other nodes verify the validity, as a response to acknowledging the validity of the account data, the record data is stored in a temporary block, and a confirmation can also be sent to the node that initiated the operation.

2.3) Smart contracts are computerized protocols that can execute the terms of a contract. They are implemented by deploying code on a shared ledger that is executed when certain conditions are met. The code is used to complete automated transactions based on actual business needs, such as querying the logistics status of the goods purchased by the buyer and transferring the buyer's electronic currency to the merchant's address after the buyer signs for the goods. Of course, smart contracts are not limited to executing contracts for transactions, but can also execute contracts for processing received information.

3) Blockchain, including a series of blocks that are connected to each other in the order of their generation. Once a new block is added to the blockchain, it will not be removed. The block records the record data submitted by the nodes in the blockchain system.

See Figure 4, which is an optional schematic diagram of the block structure (Block Structure) provided in the embodiment of the present application. Each block includes the hash value of the transaction record stored in this block (the hash value of this block) and the hash value of the previous block. Each block is connected by the hash value to form a blockchain. In addition, the block can also include information such as the timestamp when the block was generated. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains relevant information for verifying the validity of its information (anti-counterfeiting) and generating the next block.

In one embodiment of the present application, the distributed nodes of the present application are MPC computing nodes, and the blockchain participants use Shamir secret sharing to process the data to be processed to obtain multiple share data, distribute the share data to multiple distributed nodes, perform calculations on multiple distributed nodes, and then restore the processing results. Finally, the processing results are processed on the chain so that the blockchain participants can obtain the processing results from the blockchain.

In this way, the blockchain participants first share the data to be processed secretly to obtain multiple shares of data, and then distribute the share data to each distributed node, and each distributed node processes the share data to obtain a share processing result. After obtaining the share processing result, the obtained share processing result is reorganized to obtain the processing result corresponding to the data to be processed. Finally, the processing result corresponding to the data to be processed is uploaded to the chain so that the blockchain participants can obtain the processing result from the blockchain. In this way, since the blockchain participants first share the data to be processed secretly and split it into multiple shares of data, and then distribute the share data to each distributed node for processing, after processing on multiple distributed nodes, the processing results are reorganized, thereby achieving the use of the private data without disclosing it, improving the security of the private data, and achieving the purpose of "available but invisible".

It should be noted that the distributed node-based data processing method of the present application can be used in scenarios such as risk assessment and positioning services. A brief scenario description is given below.

In an application scenario of the present application, the data to be calculated may be data uploaded by multiple banks and financial institutions. As blockchain participants, multiple banks and financial institutions process these data to assess the risk of a certain enterprise. Specifically, multiple banks and financial institutions secretly share the data to be processed to obtain multiple share data. The designated distributed node receives the share data sent by the blockchain participants, and then processes the share data to obtain the share processing results, and obtains the share processing results obtained by other distributed nodes processing the received share data; reorganizes the obtained share processing results to obtain the processing results corresponding to the data to be processed, that is, to obtain the risk assessment results of a certain enterprise; and processes the processing results on the chain so that the blockchain participants can obtain the processing results from the blockchain. In this way, the risk of the enterprise can be assessed without the data being visible between the banks.

In an application scenario of the present application, the data to be calculated may be the location information and destination information uploaded by an individual. As a blockchain participant, the individual processes these data to realize navigation services. Specifically, the blockchain participants secretly share the data to be processed to obtain multiple share data, and the designated distributed nodes receive the share data sent by the blockchain participants, and then process the share data to obtain the share processing results, and obtain the share processing results obtained by other distributed nodes processing the received share data; reorganize the obtained share processing results to obtain the processing results corresponding to the data to be processed; and process the processing results on the chain so that the blockchain participants can obtain the processing results from the blockchain. In this way, positioning and navigation services are provided to individuals without exposing personal location information and destination information.

The implementation details of the technical solution of the embodiment of the present application are described in detail below:

FIG5 shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes can be executed by distributed nodes. Referring to FIG5 , the data processing method based on distributed nodes at least includes S201 to S204, which are described in detail as follows:

In S201, share data sent by a blockchain participant is received, where the share data is obtained by the blockchain participant through secret sharing of the data to be processed.

In some optional embodiments, there may be multiple blockchain participants, each of which holds corresponding data to be processed, and the data to be processed held by each blockchain participant is private data, that is, it can only be seen by itself. Each blockchain participant first obtains the data to be processed belonging to each blockchain participant, and then the blockchain participants secretly share the data to be processed to obtain multiple copies of share data, and then distribute these share data to each distributed node, and each distributed node processes the obtained share data. In this way, by first secretly sharing the data to be processed by the blockchain participants to obtain multiple shares of data, the private data is in a non-public state, thereby ensuring the security of the private data. Among them, when the blockchain participants secretly share the data to be processed, they can use a private algorithm (such as the Shamir algorithm) to share it. The Shamir algorithm has been introduced in detail in the above content and will not be repeated here.

Optionally, before receiving the share data sent by the blockchain participants, the distributed nodes can be initialized and then the identity information of the distributed nodes can be registered in the blockchain. In this way, by putting the identity information of the distributed nodes on the chain, it is easier to obtain the corresponding data when verifying the identity information of the distributed nodes later.

In S202, the share data is processed to obtain a share processing result, and the share processing results obtained by other distributed nodes processing the received share data are obtained.

In some optional embodiments, the data to be processed is first secretly shared into multiple shares of data, and then the multiple shares of data are distributed to each distributed node. Each distributed node processes the share data obtained by its own node to obtain the share processing results corresponding to each distributed node. For a designated distributed node, not only the share processing results obtained by its own node are obtained, but also the share processing results obtained by other distributed nodes are obtained at the same time, which is conducive to the subsequent processing results corresponding to the data to be calculated. In this way, by distributing the data to be processed to each distributed node for processing, on the one hand, the processing efficiency is accelerated, and on the other hand, by decentralized processing of each share of data, the security of the data to be processed is also guaranteed.

In S203, the acquired share processing results are reorganized to obtain processing results corresponding to the data to be processed.

In some optional embodiments, after obtaining the share processing results obtained by the current distributed node and the share processing results of other distributed nodes, all the obtained share processing results are reorganized, which is conducive to obtaining the processing results corresponding to the data to be processed.

Optionally, when reorganizing the acquired share processing results, all the acquired share processing results may be reorganized, or of course only a portion of the acquired share processing results may be reorganized. Those skilled in the art may make a choice based on actual needs and are not limited here.

In S204, the processing result is uploaded to the blockchain so that the blockchain participants can obtain the processing result from the blockchain.

In some optional embodiments, after obtaining the processing results, the processing results are uploaded to the chain for processing. By publishing the processing results on the chain, it is convenient for blockchain participants to obtain the processing results from the blockchain.

In the technical solutions provided in some embodiments of the present application, the blockchain participants first share the data to be processed in secret to obtain multiple share data, and then distribute the share data to each distributed node, and each distributed node processes the share data to obtain a share processing result. After obtaining the share processing result, the obtained share processing result is reorganized to obtain the processing result corresponding to the data to be processed. Finally, the processing result corresponding to the data to be processed is uploaded to the chain so that the blockchain participants can obtain the processing result from the blockchain. In this way, since the blockchain participants first share the data to be processed in secret to obtain multiple share data, and then distribute the share data to each distributed node for processing, after processing on multiple distributed nodes, the processing results are reorganized, thereby achieving the use of the private data without disclosing the private data, improving the security of the private data, and achieving the purpose of "available but invisible".

In some optional embodiments, see Figure 6, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S201, share data sent by a blockchain participant is received, where the share data is obtained by the blockchain participant through secret sharing of the data to be processed.

The specific processing process and related instructions of this step can refer to the technical solution of the aforementioned embodiment and will not be repeated here.

In S301, the share data is used as a contract parameter, and the smart contract is called to process the contract parameter to obtain the share processing result, and the share processing result obtained by other distributed nodes processing the received share data is obtained.

In some optional embodiments, in order to obtain the share processing result, a smart contract for processing the share data may be deployed in the distributed nodes. The smart contract may be generated according to a preset processing strategy, and the preset processing strategy is associated with the processing result obtained for the share data. The setting of the rules in the smart contract may be limited by those skilled in the art according to actual needs, and is not limited here.

By first deploying a smart contract for processing share data in the distributed nodes, after receiving the share data, the distributed nodes use the share data as contract parameters, call the smart contract to process the contract parameters, and obtain the share processing results. Smart contracts for processing share data can also be deployed on other distributed nodes at the same time. Other distributed nodes use the share data as contract parameters, call the smart contract to process the contract parameters, and obtain the share processing results. In this way, the share processing results are obtained by calling the smart contract, which greatly improves the processing efficiency.

In S203, the acquired share processing results are reorganized to obtain processing results corresponding to the data to be processed.

In S204, the processing result is uploaded to the blockchain so that the blockchain participants can obtain the processing result from the blockchain.

The specific processing process and related instructions of steps S203-S204 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

The difference from the embodiment shown in FIG5 is that the technical solution of the embodiment shown in FIG6 uses the share data as the contract parameter, calls the smart contract to process the contract parameter, and obtains the share processing result. In this way, by deploying a smart contract for processing the share data on the distributed node, calling the smart contract is conducive to obtaining the share processing result and improving the processing efficiency.

In some optional embodiments, see Figure 7, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S201, share data sent by a blockchain participant is received, where the share data is obtained by the blockchain participant through secret sharing of the data to be processed.

In S202, the share data is processed to obtain a share processing result, and the share processing results obtained by other distributed nodes processing the received share data are obtained.

The specific processing process and related instructions of steps S201-S202 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In S401, a set number of share processing results are selected from the share processing results, and the set number is at least more than half of the number of shares obtained by secret sharing of the data to be processed.

In some optional embodiments, after obtaining the share processing results obtained by the distributed node and the share results of other distributed nodes, a set number of share processing results can be selected from the share processing results. Among them, the set number can be set to at least exceed two-thirds of the number of shares obtained by secret sharing of the data to be processed. In this way, by selecting part of the share processing results from the share processing results for processing, the data processing efficiency is improved due to the reduction in the amount of data. In addition, if the number of reorganized share processing results is greatly reduced in order to improve the data processing efficiency, this will pose a threat to the security of the processing results. In the embodiment of the present application, the preset number is set to at least exceed two-thirds of the number of shares obtained by secret sharing of the data to be processed. In this way, not only the data processing efficiency is taken into account, but also it is beneficial to improve the security of the processing results.

In S402, a set number of share processing results are reorganized to obtain processing results corresponding to the data to be processed.

In some optional embodiments, after determining the share processing results that need to be reorganized, these share processing results are reorganized, and finally the processing results corresponding to the data to be processed can be obtained. For example, by using secret sharing to split the data to be processed into 3 parts, 2 share processing results need to be reorganized to obtain the final processing result.

In S204, the processing result is uploaded to the blockchain so that the blockchain participants can obtain the processing result from the blockchain.

The specific processing process and related instructions of this step can refer to the technical solution of the aforementioned embodiment and will not be repeated here.

The difference from the embodiment shown in FIG5 is that the technical solution of the embodiment shown in FIG7 reorganizes the acquired share processing results, selects a set number of share processing results from the share processing results, and reorganizes the set number of share processing results. In this way, by selecting part of the share processing results from the share processing results for processing, the amount of data is reduced, which is conducive to improving data processing efficiency.

In some optional embodiments, see Figure 8, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S201, share data sent by a blockchain participant is received, where the share data is obtained by the blockchain participant through secret sharing of the data to be processed.

The specific processing process and related instructions of this step can refer to the technical solution of the aforementioned embodiment and will not be repeated here.

In S501, a processing task request initiated by a blockchain participant is received.

In S502, the signature of the task processing request is verified to verify the identity of the blockchain participant.

In S503, if the identity authentication of the blockchain participant is passed, the share data is processed.

In some optional embodiments, in order to further ensure the security of the data, the identity of the blockchain participants needs to be verified. Only when the identity authentication of the blockchain participants is passed, the share data will be processed.

In S202, the share data is processed to obtain a share processing result, and the share processing results obtained by other distributed nodes processing the received share data are obtained.

In S203, the acquired share processing results are reorganized to obtain processing results corresponding to the data to be processed.

In S204, the processing result is uploaded to the blockchain so that the blockchain participants can obtain the processing result from the blockchain.

The specific processing process and related instructions of steps S202-S204 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In this way, after receiving the processing task request initiated by the blockchain participant, the signature of the processing task request is verified, so that the identity of the blockchain participant can be verified. Only when the identity authentication of the blockchain participant is passed can the share data be processed, which further ensures the security of the data.

In some optional embodiments, see Figure 9, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S201, share data sent by a blockchain participant is received, where the share data is obtained by the blockchain participant through secret sharing of the data to be processed.

In S202, the share data is processed to obtain a share processing result, and the share processing results obtained by other distributed nodes processing the received share data are obtained.

The specific processing process and related instructions of steps S201-S202 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In S601, the share processing result is signed, and the signatures of other distributed nodes on the share processing result are obtained.

In some optional embodiments, after obtaining the share processing result, the share processing result is signed. The so-called signature refers to a commitment to the accuracy of the processed share processing result, that is, to confirm that the share processing result is accurate. It should be noted that not only the current distributed node signs the share processing result obtained by itself, but other distributed nodes can also sign the share processing results obtained by themselves.

In S602, the acquired signature is verified, and the share processing result that passes the signature verification is used as the share processing result to be reorganized.

In some optional embodiments, after obtaining the signed share processing results, the signature is verified, that is, whether the share processing results are accurate and reliable. When verifying, the public key can be used for verification, and the share processing results that pass the verification are used as the share processing results to be reorganized.

In S203, the acquired share processing results are reorganized to obtain processing results corresponding to the data to be processed.

In S204, the processing result is uploaded to the blockchain so that the blockchain participants can obtain the processing result from the blockchain.

Among them, the specific processing process and related instructions of steps S203-S204 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In this way, after obtaining the share processing result, the share processing result is signed, and then the signature is verified. Only the share processing result that passes the signature verification can be used as the share processing result to be reorganized, and the share processing result with different signature verification is discarded. That is, by signing the share processing result and performing signature verification, it is helpful to ensure the accuracy of the share processing result.

In some optional embodiments, FIG10 shows a flow chart of a data processing method based on a distributed node according to an embodiment of the present application, and the data processing method based on a distributed node can be executed by other distributed nodes. Referring to FIG10 , the data processing method based on a distributed node at least includes S701 to S703, which are described in detail as follows:

In S701, share data sent by a blockchain participant is received, where the share data is obtained by the blockchain participant through secret sharing of the data to be processed.

In some optional embodiments, there may be multiple blockchain participants, each of which holds corresponding data to be processed, and the data to be processed held by each blockchain participant is private data, that is, it can only be seen by itself. Each blockchain participant first obtains the data to be processed belonging to each blockchain participant, and then the blockchain participants secretly share the data to be processed to obtain multiple shares of data, and then distribute these shares of data to each distributed node, and each distributed node processes the obtained share of data. In this way, by first secretly sharing the data to be processed by the blockchain participants to obtain multiple shares of data, the private data is kept in a non-public state, thereby ensuring the security of the private data. Among them, when the blockchain participants secretly share the data to be processed, they can use a private algorithm (such as the Shamir algorithm) to share it.

Optionally, before receiving the share data sent by the blockchain participants, the distributed nodes can be initialized and then the identity information of the distributed nodes can be registered in the blockchain. In this way, by putting the identity information of the distributed nodes on the chain, it is easier to obtain the corresponding data when verifying the identity information of the distributed nodes later.

In S702, the share data is processed to obtain a share processing result.

In some optional embodiments, the data to be processed is first secretly shared into multiple shares of data, and then the multiple shares of data are distributed to each distributed node. Each distributed node processes the share data obtained by its own node to obtain the share processing results corresponding to each distributed node.

In S703, the share processing results are sent to the designated distributed node, so that the designated distributed node reorganizes the share processing results sent by multiple distributed nodes to obtain the processing results corresponding to the data to be processed, and processes the processing results on the chain.

In some optional embodiments, after obtaining the share processing result obtained by the current distributed node, the share processing result is sent to the designated distributed node, so that the designated distributed node reorganizes the processing result corresponding to the to-be-processed data based on the share processing results sent by multiple distributed nodes. After obtaining the processing result, the processing result is uploaded to the chain, and the processing result is publicly uploaded to the chain, which is conducive to the blockchain participants obtaining the processing result from the blockchain.

In the technical solutions provided in some embodiments of the present application, the blockchain participants first share the data to be processed in secret to obtain multiple copies of share data, and then distribute the share data to each distributed node, and each distributed node processes the share data to obtain a share processing result. After obtaining the share processing result, the share processing result is sent to the designated distributed node, so that the designated distributed node reorganizes the share processing results sent by multiple distributed nodes to obtain the processing result corresponding to the data to be processed, and processes the processing result on the chain. In this way, since the blockchain participants first share the data to be processed in secret to obtain multiple copies of share data, and then distribute the share data to each distributed node for processing, after processing on multiple distributed nodes, the processing results are reorganized, thereby achieving the use of the private data without disclosing the private data, improving the security of the private data, and achieving the purpose of "available but invisible".

In some optional embodiments, FIG11 shows a flow chart of a data processing method based on a distributed node according to an embodiment of the present application, and the data processing method based on a distributed node can be performed by a blockchain participant. Referring to FIG11 , the data processing method based on a distributed node includes at least S801 to S804, which are described in detail as follows:

In S801, data to be processed is obtained.

In some optional embodiments, all blockchain participants hold corresponding data to be processed, and the data to be processed held by the blockchain participants are all private data, that is, they can only be seen by themselves.

In S802, the data to be processed is subjected to secret sharing processing to obtain a plurality of share data.

In some optional embodiments, the blockchain participants first perform secret sharing on the data to be processed to obtain multiple shares of data. When the blockchain participants perform secret sharing on the data to be processed, they can use a private algorithm (such as Shamir's algorithm) to share and obtain.

In S803, multiple share data are sent to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain.

In some optional embodiments, after the blockchain participants obtain multiple shares of the data to be processed through secret sharing, they distribute the multiple shares of the data to each distributed node, and each distributed node processes the obtained share data to obtain the corresponding share processing results. After obtaining the share processing results obtained by the current distributed node and the share processing results of other distributed nodes, all the obtained share processing results are reorganized, so as to facilitate obtaining the processing results corresponding to the data to be processed.

In S804, the processing result is obtained from the blockchain.

In some optional embodiments, after obtaining the processing results, the processing results are uploaded to the chain for processing. By publishing the processing results on the chain, it is convenient for blockchain participants to obtain the processing results from the blockchain.

In the technical solutions provided in some embodiments of the present application, the blockchain participants first share the data to be processed in secret to obtain multiple share data, and then distribute the share data to each distributed node, and each distributed node processes the share data to obtain a share processing result. After obtaining the share processing result, the obtained share processing result is reorganized to obtain the processing result corresponding to the data to be processed. Finally, the processing result corresponding to the data to be processed is uploaded to the chain so that the blockchain participants can obtain the processing result from the blockchain. In this way, since the blockchain participants first share the data to be processed in secret to obtain multiple share data, and then distribute the share data to each distributed node for processing, after processing on multiple distributed nodes, the processing results are reorganized, thereby achieving the use of the private data without disclosing the private data, improving the security of the private data, and achieving the purpose of "available but invisible".

In some optional embodiments, see Figure 12, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S901, a processing task request is initiated to the blockchain, and the processing task request is uploaded to the blockchain.

In some optional embodiments, a processing task request is initiated to the blockchain, and the processing task request is uploaded to the chain, which is conducive to indicating the entry into the data processing stage.

In S801, data to be processed is obtained.

In S802, the data to be processed is subjected to secret sharing processing to obtain a plurality of share data.

In S803, multiple share data are sent to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain.

In S804, the processing result is obtained from the blockchain.

The specific processing process and related instructions of steps S801-S804 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In this way, a processing task request is initiated to the blockchain and uploaded to the chain, which is conducive to determining the instruction to enter the data processing stage.

In some optional embodiments, see Figure 13, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S901, a processing task request is initiated to the blockchain, and the processing task request is uploaded to the blockchain.

The specific processing process and related instructions of this step can refer to the technical solution of the aforementioned embodiment and will not be repeated here.

In S902, other blockchain participants are notified to secretly share the corresponding data to be processed of other blockchain participants to obtain multiple shares of data to be processed, and the multiple shares of data to be processed are sent to the corresponding distributed nodes respectively.

In some optional embodiments, after determining to initiate a processing task request to the blockchain, notify other blockchain participants to secretly share the corresponding data to be processed of other blockchain participants to obtain multiple shares of data to be processed, and then send the multiple shares of data to be processed to the corresponding distributed nodes respectively. In this way, it is convenient to process the shares of data to be processed sent by other participants at the same time.

In S801, data to be processed is obtained.

In S802, the data to be processed is subjected to secret sharing processing to obtain a plurality of share data.

In S803, multiple share data are sent to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain.

In S804, the processing result is obtained from the blockchain.

The specific processing process and related instructions of steps S801-S804 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In this way, after determining to initiate a processing task request to the blockchain, other blockchain participants are notified to secretly share the corresponding data to be processed of other blockchain participants to obtain multiple shares of data to be processed, and then the multiple shares of data to be processed are sent to the corresponding distributed nodes respectively, so as to facilitate the simultaneous processing of the shares of data to be processed sent by other participants.

In some optional embodiments, see Figure 14, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S801, data to be processed is obtained.

In S802, the data to be processed is subjected to secret sharing processing to obtain a plurality of share data.

In S803, multiple share data are sent to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain.

In S804, the processing result is obtained from the blockchain.

The specific processing process and related instructions of steps S801-S804 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In S1101, the processing result is decrypted using the private key of the blockchain participant to obtain the decrypted processing result.

If the processing result is private data, that is, the processing result obtained from the blockchain is encrypted by the public key of the blockchain participant, the processing result is decrypted using the private key of the blockchain participant, further ensuring the security of the processing result.

In some optional embodiments, see Figure 15, which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application. The data processing method based on distributed nodes may mainly include the following steps.

In S1201, identity information of blockchain participants is obtained.

In S1202, the identity information of the blockchain participants is uploaded to the chain.

In some optional embodiments, the identity information of the blockchain participants is registered in the blockchain. In this way, by putting the identity information of the blockchain participants on the chain, it is easier to obtain the corresponding data when verifying the identity information of the blockchain participants later.

In S801, data to be processed is obtained.

In S802, the data to be processed is subjected to secret sharing processing to obtain a plurality of share data.

In S803, multiple share data are sent to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain.

In S804, the processing result is obtained from the blockchain.

The specific processing process and related instructions of steps S801-S804 can refer to the technical solutions of the aforementioned embodiments and will not be repeated here.

In this way, by uploading the identity information of the blockchain participants to the chain, it is easier to obtain the corresponding data when verifying the identity information of the blockchain participants later.

To facilitate understanding of the technical solution of the present application, refer to FIG. 16 , which shows a flow chart of a data processing method based on distributed nodes according to an embodiment of the present application.

Step 1: Initialize the MPC network. Specifically, the MPC chain is combined into an MPC computing network, which includes computing nodes (also called distributed nodes) and preprocessing nodes. The computing nodes are responsible for distributed computing, and the preprocessing nodes are responsible for preprocessing parameters during MPC computing. For example, the multiplication calculation of Shamir's secret sharing requires the consumption of the Vandermonde matrix. At this time, the preprocessing node needs to prepare the Vandermonde matrix in advance and continue to supplement the Vandermonde matrix when the calculation is consumed. In addition, when the computing node is started, it reports its own information to the MPC identity contract for node identity registration.

Step 2: Deploy collaborative computing contracts: Implement the MPC computing of the business as a smart contract and deploy it to the computing node. It should be noted that since the MPC node itself integrates the blockchain virtual machine, it has a smart contract management interface and supports the deployment of contract code.

Step 3: Bank 1, Bank 2, Bank 3 and the financial structure, as blockchain participants, register their own identity information in the blockchain's identity contract to complete the identity registration of the participants. Specifically, for the blockchain's identity contract, the identity contract is deployed on the core chain to manage the node information and maintain and manage the status of the MPC node. Since the MPC computing network is composed of different participant nodes, which jointly provide outsourced computing services, the node will register its node id, identity information, and public key address to the MPC identity contract when it starts. If the MPC node is found to be malicious, the node can be frozen.

Step 4: If the financial institution wishes to conduct a risk level assessment on Enterprise A, the financial institution initiates an MPC processing task request to the blockchain and uploads it to the chain. The processing task request includes the MPC algorithm, contract ID, contract method, enterprise ID, etc.

Step 5: After initiating an MPC processing task request to the blockchain, the financial institution notifies other blockchain participants including Bank 1, Bank 2, and Bank 3 to initiate MPC calculations. Then, the financial institution, Bank 1, Bank 2, and Bank 3 use the Shamir algorithm to share the secret data to be calculated as share data, and use the share data as the calculation node corresponding to the contract parameters.

Step 6: Perform MPC calculation. After receiving the processing task request, the computing node verifies the signature of the request to verify the identity of the blockchain participant. After the identity authentication of the blockchain participant is passed, the share parameters are used to perform calculation f. Among them, for addition, subtraction, and constant multiplication, linear calculations are corresponding. If multiplication and division calculations are included, the Vandermonde matrix needs to be used for order reduction. Each node performs calculations on the share data to obtain the share processing results.

Step 7: After all calculations are completed, each computing node signs the calculation results of the shares, verifies the obtained signatures, and uses the share processing results that pass the signature verification as the share processing results to be reorganized, and the processing results corresponding to the reorganized data to be processed are processed on the chain. Financial institutions can obtain the final results of the MPC calculations from the task contract. If the result is also private data, the share result is encrypted with the public key of the financial institution and sent to the financial institution. After the financial institution verifies the result, it updates the task contract and reverses the task status.

The following describes an embodiment of the device of the present application, which can be used to execute the data processing method based on distributed nodes in the above embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the data processing method based on distributed nodes in the above embodiment of the present application.

FIG. 17 shows a block diagram of a data processing device based on distributed nodes according to an embodiment of the present application.

As shown in FIG. 17 , a data processing device 1700 based on distributed nodes according to an embodiment of the present application includes:

The receiving module 1701 is used to receive the share data sent by the blockchain participants, where the share data is obtained by the blockchain participants through secret sharing of the data to be processed;

The processing module 1702 is used to process the share data to obtain a share processing result, and obtain the share processing results obtained by other distributed nodes processing the received share data;

The reorganization module 1703 is used to reorganize the obtained share processing results to obtain the processing results corresponding to the data to be processed;

The on-chain module 1704 is used to process the processing results on the chain so that the blockchain participants can obtain the processing results from the blockchain.

In some embodiments of the present application, based on the above technical solution, a smart contract for processing share data is deployed on the distributed node, and the processing module 1702 is also used to use the share data as a contract parameter, call the smart contract to process the contract parameter, and obtain the share processing result.

In some embodiments of the present application, based on the above technical solution, the reorganization module 1703 is also used to select a set number of share processing results from the share processing results, and the set number is at least more than half of the number of shares obtained by secret sharing of the data to be processed; and the set number of share processing results are reorganized to obtain the processing results corresponding to the data to be processed.

In some embodiments of the present application, based on the above technical solution, the device also includes a verification module for receiving a processing task request initiated by a blockchain participant; verifying the signature of the processing task request to verify the identity of the blockchain participant; if the identity authentication of the blockchain participant is passed, the share data is processed.

In some embodiments of the present application, based on the above technical solution, the reorganization module 1703 is also used to sign the share processing results and obtain the signatures of other distributed nodes on the share processing results; verify the obtained signatures, and use the share processing results that pass the signature verification as the share processing results to be reorganized.

According to one aspect of an embodiment of the present application, a data processing device based on a distributed node is provided, the device comprising:

A receiving module is used to receive the share data sent by the blockchain participants, where the share data is obtained by the blockchain participants through secret sharing of the data to be processed;

A processing module, used for processing the share data to obtain a share processing result;

The sending module is used to send the share processing results to the designated distributed nodes, so that the designated distributed nodes can reorganize the share processing results sent by multiple distributed nodes to obtain the processing results corresponding to the data to be processed, and process the processing results on the chain.

FIG18 shows a block diagram of a data processing device based on distributed nodes according to an embodiment of the present application. Referring to FIG18 , according to one aspect of an embodiment of the present application, a data processing device based on distributed nodes 1800 is provided, including:

The first acquisition module 1801 is used to acquire data to be processed;

The processing module 1802 is used to perform secret sharing processing on the data to be processed to obtain multiple share data;

The sending module 1803 is used to send multiple share data to corresponding distributed nodes respectively, so that the distributed nodes process the share data, and reorganize the processed share processing results to obtain the processing results and then upload them to the chain;

The second acquisition module 1804 is used to obtain the processing result from the blockchain.

In some embodiments of the present application, based on the above technical solution, the device also includes a request module, which is used to initiate a processing task request to the blockchain and upload the processing task request to the blockchain.

In some embodiments of the present application, based on the above technical solution, the request module is also used to notify other blockchain participants to secretly share the corresponding data to be processed of other blockchain participants to obtain multiple shares of data to be processed, and send the multiple shares of data to be processed to the corresponding distributed nodes respectively.

In some embodiments of the present application, based on the above technical solution, the processing result obtained from the blockchain is encrypted by the public key of the blockchain participant; the second acquisition module 1804 is also used to decrypt the processing result using the private key of the blockchain participant to obtain the decrypted processing result.

In some embodiments of the present application, based on the above technical solution, the first acquisition module 1801 is also used to obtain the identity information of the blockchain participants; and upload the identity information of the blockchain participants to the chain.

FIG. 19 shows a schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application.

It should be noted that the computer system 1900 of the electronic device shown in FIG. 19 is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

As shown in FIG. 19 , a computer system 1900 includes a central processing unit (CPU) 1901, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1902 or a program loaded from a storage part 1908 to a random access memory (RAM) 1903, such as executing the method in the above embodiment. Various programs and data required for system operation are also stored in RAM 1903. CPU 1901, ROM 1902, and RAM 1903 are connected to each other via a bus 1904. An input/output (I/O) interface 1905 is also connected to bus 1904.

The following components are connected to the I/O interface 1905: an input section 1906 including a keyboard, a mouse, etc.; an output section 1907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1908 including a hard disk, etc.; and a communication section 1909 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 1909 performs communication processing via a network such as the Internet. A drive 1910 is also connected to the I/O interface 1905 as needed. A removable medium 1911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1910 as needed so that a computer program read therefrom is installed into the storage section 1908 as needed.

In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 1909, and/or installed from a removable medium 1911. When the computer program is executed by a central processing unit (CPU) 1901, various functions defined in the system of the present application are executed.

It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of the boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and a computer program.

The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not constitute limitations on the units themselves in some cases.

As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more computer programs, and when the above one or more computer programs are executed by an electronic device, the electronic device implements the method in the above embodiment.

It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation method of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation method of the present application.

Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims (16)

1. A method for processing data based on distributed nodes, the method comprising:

the method comprises the steps of receiving share data sent by a blockchain participant, wherein the share data is obtained by secret sharing of data to be processed by the blockchain participant;

processing the share data to obtain a share processing result, and obtaining share processing results obtained by processing the received share data by other distributed nodes;

recombining the obtained share processing results to obtain processing results corresponding to the data to be processed;

and carrying out uplink processing on the processing result so that the blockchain participant obtains the processing result from the blockchain.

2. The distributed node-based data processing method of claim 1, wherein the distributed node has a smart contract deployed thereon for processing the share data;

the processing of the share data to obtain a share processing result comprises the following steps:

and taking the share data as a contract parameter, and calling the intelligent contract to process the contract parameter to obtain the share processing result.

3. The distributed node-based data processing method according to claim 1, wherein the reorganizing the obtained share processing result to obtain a processing result corresponding to the data to be processed includes:

Selecting a set number of share processing results from the share processing results, wherein the set number is at least more than half of the share number obtained by secret sharing of the data to be processed;

And reorganizing the share processing results of the set number to obtain processing results corresponding to the data to be processed.

4. A distributed node based data processing method according to any of claims 1 to 3, wherein before processing the share data to obtain a share processing result, the method further comprises:

receiving a processing task request initiated by the blockchain participant;

verifying the signature of the processing task request to verify the identity of the blockchain participant;

and if the identity verification of the blockchain participant passes, processing the share data.

5. A distributed node based data processing method according to any of claims 1 to 3, characterized in that before reorganizing the obtained share processing results, the method further comprises:

Signing the share processing result, and obtaining signatures of the other distributed nodes on the share processing result;

And verifying the obtained signature, and taking the share processing result passing the signature verification as the share processing result to be recombined.

6. A method for processing data based on distributed nodes, the method comprising:

the method comprises the steps of receiving share data sent by a blockchain participant, wherein the share data is obtained by secret sharing of data to be processed by the blockchain participant;

Processing the share data to obtain a share processing result;

And sending the share processing results to a designated distributed node, so that the designated distributed node can reconstruct the share processing results sent by a plurality of distributed nodes to obtain processing results corresponding to the data to be processed, and carrying out uplink processing on the processing results.

7. A method for processing data based on distributed nodes, the method comprising:

Acquiring data to be processed;

carrying out secret sharing processing on the data to be processed to obtain a plurality of share data;

the plurality of share data are respectively sent to the corresponding distributed nodes, so that the distributed nodes process the share data, and the share processing results obtained through processing are recombined to obtain processing results and then are uplink;

and obtaining the processing result from the block chain.

8. The distributed node-based data processing method of claim 7, wherein prior to acquiring the data to be processed, the method further comprises:

And initiating a processing task request to the block chain, and uplink the processing task request.

9. The distributed node-based data processing method of claim 8, wherein after initiating a processing task request to the blockchain, the method further comprises:

Notifying other blockchain participants to carry out secret sharing on the data to be processed corresponding to the other blockchain participants to obtain a plurality of share data to be processed, and respectively sending the share data to the corresponding distributed nodes.

10. The distributed node-based data processing method of claim 7, wherein the processing results obtained from the blockchain are encrypted by a public key of the blockchain participant;

after obtaining the processing result from the blockchain, the method further includes:

And decrypting the processing result by using the private key of the blockchain participant to obtain a decrypted processing result.

11. A distributed node based data processing method according to any of claims 7 to 10, wherein prior to obtaining the data to be processed, the method further comprises:

Acquiring identity information of the blockchain participant;

and the identity information of the blockchain participant is uplink.

12. A data processing apparatus based on a distributed node, the apparatus comprising:

the system comprises a receiving module, a processing module and a processing module, wherein the receiving module is used for receiving share data sent by a blockchain participant, and the share data is obtained by secret sharing of data to be processed by the blockchain participant;

The processing module is used for processing the share data to obtain a share processing result, and acquiring share processing results obtained by processing the received share data by other distributed nodes;

The reorganization module is used for reorganizing the obtained share processing results to obtain processing results corresponding to the data to be processed;

and the uplink module is used for carrying out uplink processing on the processing result so that the blockchain participant can acquire the processing result from the blockchain.

13. A data processing apparatus based on a distributed node, the apparatus comprising:

the first acquisition module is used for acquiring data to be processed;

The processing module is used for carrying out secret sharing processing on the data to be processed to obtain a plurality of share data;

the sending module is used for respectively sending the plurality of share data to the corresponding distributed nodes so that the distributed nodes process the share data, and recombining the share processing results obtained by processing to obtain processing results and then carrying out uplink;

And the second acquisition module is used for acquiring the processing result from the block chain.

14. A computer readable medium, on which a computer program is stored, which computer program, when being executed by a processor, implements a distributed node based data processing method according to any of claims 1 to 11.

15. An electronic device, comprising:

One or more processors;

A memory for storing one or more computer programs that, when executed by the one or more processors, cause the electronic device to implement the distributed node-based data processing method of any of claims 1-11.

16. A computer program product, characterized in that the computer program product comprises a computer program stored in a computer readable storage medium, from which computer readable storage medium a processor of an electronic device reads and executes the computer program, causing the electronic device to perform the distributed node based data processing method according to any of claims 1 to 11.