CN110209347B - A traceable data storage method - Google Patents

Abstract

The present application provides a traceable data storage method. The method includes: acquiring target data to be stored; dividing the target data into multiple sub-data and storing them in multiple storage nodes in a storage network database; storing storage information of the target data in the storage Each node of the network database. Compared with the prior art, the data storage method provided by the present application can effectively improve the security and traceability of data storage.

Description

A traceable data storage method

technical field

The present application relates to the technical field of data storage, in particular to a traceable data storage method.

Background technique

With the rapid development of Internet technology and the advent of the era of big data, the importance of data is getting higher and higher, and correspondingly, the requirements for data storage technology are getting higher and higher, especially for the authenticity, non-volatile, Immutability and traceability are placing increasing demands.

At present, data storage mainly relies on the implementation of data servers, which is a highly centralized storage method. After being hacked, tampered by managers and other illegal events, it may be maliciously tampered with without being noticed by users, thus giving data Users bring serious losses.

In view of the above problems, it is necessary to provide a more secure and traceable data storage solution.

SUMMARY OF THE INVENTION

In view of the above problems, the present application provides a traceable data storage method, device, terminal device and computer-readable medium.

A first aspect of the present application provides a traceable data storage method, including:

Get the target data to be stored;

The target data is cut into multiple sub-data and stored in multiple storage nodes in the storage network database;

The storage information of the target data is stored in each node of the storage network database.

In some modified implementations of the first aspect of the present application, the dividing the target data into multiple sub-data and storing them in multiple storage nodes in the storage network database includes:

A consensus mechanism is used to select a plurality of storage nodes for storing the target data from the storage network database;

The target data is cut into multiple sub-data and stored in the multiple storage nodes.

In some modified implementations of the first aspect of the present application, the storing the storage information of the target data to each node of the storage network database includes:

generating storage information of the target data;

generating a data packet according to the stored information;

The data packets are stored to each node of the storage network database.

In some modified implementations of the first aspect of the present application, the generating of the storage information of the target data includes:

for each of the plurality of sub-data, generating fingerprint information of the sub-data;

determining the node identifiers of the respective storage nodes of the plurality of sub-data;

The storage information of the target data is generated according to the data identifier of the target data, the fingerprint information corresponding to each of the plurality of sub-data, and the node identifier of the storage node.

In some modified implementations of the first aspect of the present application, the generating the fingerprint information of the sub-data includes:

obtaining the data identifier of the sub-data;

Use a message digest algorithm to generate summary information of the sub-data;

The fingerprint information of the sub-data is generated according to the data identification of the sub-data and the summary information.

In some modified implementations of the first aspect of the present application, the generating a data packet according to the stored information includes:

According to the data identification or summary information of the target data, look up the historical storage data packets of the target data in the storage network database;

generating summary information of the historical storage data packet;

A storage data packet is generated according to the storage information and the summary information of the historical storage data packet.

In some modified implementations of the first aspect of the present application, the generating a data packet according to the stored information includes:

Find the data packet corresponding to the last storage event in the storage network database;

generating the summary information of the data packet corresponding to the last storage event;

A storage data packet is generated according to the storage information and the summary information of the data packet corresponding to the last storage event.

A second aspect of the present application provides a data storage device, comprising:

The target data acquisition module is used to acquire the target data to be stored;

a target data storage module, which is used to cut the target data into multiple sub-data and store them in multiple storage nodes in the storage network database;

The storage information distribution module is configured to store the storage information of the target data to each node of the storage network database.

In some modified implementations of the second aspect of the present application, the target data storage module includes:

a storage node determination unit, used for selecting a plurality of storage nodes for storing the target data from the storage network database using a consensus mechanism;

A target data storage unit, configured to cut the target data into a plurality of sub-data and store them in the plurality of storage nodes.

In some modified implementations of the second aspect of the present application, the storage information distribution module includes:

a storage information generating unit for generating storage information of the target data;

a data packet generating unit for generating a data packet according to the storage information;

A data packet storage unit, configured to store the data packets to each node of the storage network database.

In some modified implementations of the second aspect of the present application, the storage information generating unit includes:

a fingerprint generating subunit, configured to generate fingerprint information of the subdata for each of the plurality of subdata;

a node identifier determination subunit, used for determining the node identifiers of the respective storage nodes of the plurality of sub-data;

A storage information generating subunit is configured to generate storage information of the target data according to the data identifier of the target data, the fingerprint information corresponding to each of the multiple sub-data, and the node identifier of the storage node.

In some modified implementations of the second aspect of the present application, the fingerprint generation subunit includes:

a data identification obtaining subunit, used for obtaining the data identification of the subdata;

The summary information generating subunit is used for generating summary information of the sub-data by adopting a message digest algorithm;

The fingerprint information generating subunit is configured to generate fingerprint information of the sub-data according to the data identification of the sub-data and the abstract information.

In some modified implementations of the second aspect of the present application, the data packet generating unit includes:

A historical data query subunit, used for searching the historical storage data packets of the target data in the storage network database according to the data identification or summary information of the target data;

A historical data summary subunit for generating the summary information of the historical storage data packet;

The first data generating subunit is configured to generate a storage data packet according to the storage information and the summary information of the historical storage data packet.

In some modified implementations of the second aspect of the present application, the data packet generating unit includes:

The previous storage query subunit is used to search the data packet corresponding to the last storage event in the storage network database;

The previous storage summary subunit is used to generate the summary information of the data packet corresponding to the last storage event;

The first data generation subunit is configured to generate a storage data packet according to the storage information and the summary information of the data packet corresponding to the last storage event.

A third aspect of the present application provides a terminal device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the present application when the processor runs the computer program The method described in the first aspect.

A fourth aspect of the present application provides a computer-readable medium on which computer-readable instructions are stored, and the computer-readable instructions can be used by a processor to execute the method described in the first aspect of the present application.

The data storage method provided by the first aspect of the present application includes: acquiring target data to be stored; dividing the target data into multiple sub-data and storing them in multiple storage nodes in a storage network database; storing the target data Information is stored to each node of the storage network database. Compared with the prior art, the data storage method provided by the present application abandons the current highly centralized storage method, but cuts the target data into multiple sub-data and stores them in multiple storage nodes in the storage network database. The decentralized storage method can effectively reduce the possibility of target data being tampered with by the server administrator; in addition, by storing the storage information of the target data in each node of the storage network database, each node of the storage network database can be stored. The node becomes the witness node of the authenticity of the target data. Since the stored information cannot be easily deleted or tampered with, the traceability and authenticity of the target data can be ensured. In conclusion, the data storage method provided in this application can effectively Improve the security and traceability of data storage.

The data storage device provided in the second aspect of the present application, the terminal device provided in the third aspect, and the computer-readable medium provided in the fourth aspect are based on the same inventive concept as the data storage method provided in the above-mentioned first aspect, and have the same benefits. Effect.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for purposes of illustrating preferred embodiments only and are not to be considered limiting of the application. Also, the same components are denoted by the same reference numerals throughout the drawings. In the attached image:

1 shows a flowchart of a data storage method provided by an embodiment of the present application;

FIG. 2 shows a schematic diagram of a data storage device provided by an embodiment of the present application;

FIG. 3 shows a schematic diagram of a terminal device provided by an embodiment of the present application;

FIG. 4 shows a schematic diagram of a computer-readable medium provided by an embodiment of the present application.

Detailed ways

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

It should be noted that, unless otherwise specified, the technical or scientific terms used in this application should have the usual meanings understood by those skilled in the art to which this application belongs.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in multiple embodiments of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

The embodiments of the present application provide a traceable data storage method, apparatus, terminal device, and computer-readable medium. The embodiments of the present application will be described below with reference to the accompanying drawings.

Please refer to FIG. 1 , which shows a flowchart of a traceable data storage method provided by an embodiment of the present application. The data storage method includes the following steps:

Step S101: Acquire target data to be stored.

Step S102: Cut the target data into multiple sub-data and store them in multiple storage nodes in the storage network database.

In the embodiment of the present application, the storage network database includes a network database dedicated to storing data. In the storage network database, target data may be stored in any one or more nodes of the storage network database for storing all data. The node of the target data may be temporarily referred to as a storage node, and the storage information of the target data will be stored in each node of the storage network database.

The method of dividing the target data into a plurality of sub-data may adopt any data cutting method in the prior art, thereby dividing the target data into a plurality of sub-data, which is not limited in the embodiment of the present application.

In some embodiments, the storing the target data into multiple sub-data and storing them in multiple storage nodes in the storage network database may include:

A consensus mechanism is used to select a plurality of storage nodes for storing the target data from the storage network database;

The target data is cut into multiple sub-data and stored in the multiple storage nodes.

The consensus mechanism may be implemented using any consensus algorithm in the prior art, which is not limited in this application. It should be noted that, in this embodiment of the present application, multiple storage nodes for storing the target data need to be selected. Therefore, when the consensus algorithm is implemented, multiple storage nodes need to be selected. Power is the consensus algorithm, and multiple nodes with the highest computing power can be determined as the storage nodes. Those skilled in the art can use the existing consensus algorithm to directly or modify the implementation according to the above description of the embodiment of this application. The application examples are not repeated here.

Step S103: Store the storage information of the target data in each node of the storage network database.

In some embodiments, the storing the storage information of the target data to each node of the storage network database may include:

generating storage information of the target data;

generating a data packet according to the stored information;

The data packets are stored to each node of the storage network database.

The above-mentioned embodiments can be implemented by using data processing technology, for example, data packets are generated according to stored information, and the data packets can be data packets included in the link information of other data packets, so that each data packet is linked to form a set of data packets , to ensure the immutability and traceability of the stored information after storage.

In some embodiments, the generating the storage information of the target data may include:

for each of the plurality of sub-data, generating fingerprint information of the sub-data;

determining the node identifiers of the respective storage nodes of the plurality of sub-data;

The storage information of the target data is generated according to the data identifier of the target data, the fingerprint information corresponding to each of the plurality of sub-data, and the node identifier of the storage node.

Wherein, in some embodiments, the generating the fingerprint information of the sub-data may include:

obtaining the data identifier of the sub-data;

Use a message digest algorithm to generate summary information of the sub-data;

The fingerprint information of the sub-data is generated according to the data identification of the sub-data and the summary information.

The fingerprint information of the sub-data may be generated by using an information digest algorithm such as an MD5 algorithm, which is not limited in this embodiment of the present application. Because data packets need to be stored or backed up in each node, it is not suitable for target data or sub-data with large data volume (for example, data with a data size of MB or GB or more has a large data volume and is not suitable for full-chain storage). The data is stored in the whole chain (that is, stored in each node that stores the network database). In order to solve the above problem, in the embodiment of the present application, the target data is cut into multiple sub-data and stored in multiple storage nodes in the network database. Then, the storage information of the target data is stored in the whole chain. Since the size of the fingerprint information can be much smaller than the size of the target data, the size of the storage information can ensure that the storage information is stored in the whole chain. The stored information contains fingerprint information of each sub-data of the target data. Therefore, the stored information can be effectively used to identify the authenticity of the target data, thereby ensuring the authenticity and traceability of the target data.

To sum up, through the above-mentioned embodiments, the fingerprint information can be used to achieve full-chain storage and witness the authenticity of the target data with a small amount of data.

In some embodiments, the generating a data packet according to the stored information may include:

According to the data identification or summary information of the target data, look up the historical storage data packets of the target data in the storage network database;

generating summary information of the historical storage data packet;

A storage data packet is generated according to the storage information and the summary information of the historical storage data packet.

Through the above implementation, when generating a storage data packet, first query the historical storage data packet of the target data, and then use the storage information and the summary information of the historical storage data packet to generate a storage data packet, so as to convert the target data into the storage data packet. The current version is associated with the historical version to form a mutually linked database, so that the modification history of the target data can be traced back.

In some embodiments, the generating a data packet according to the stored information may include:

Find the data packet corresponding to the last storage event in the storage network database;

generating the summary information of the data packet corresponding to the last storage event;

A storage data packet is generated according to the storage information and the summary information of the data packet corresponding to the last storage event.

Through the above implementation, when generating a storage data packet, first query the data packet corresponding to the last storage event in the storage network database, and then use the storage information and the summary information of the data packet corresponding to the last storage event to generate Store data packets, so as to associate the storage information of each storage event in the storage network database to form an interconnected database, thereby ensuring the non-tampering and traceability of the stored information, because the stored information is used For identifying or witnessing the target data, therefore, the traceability of the target data can be further ensured.

The above is an exemplary description of a data storage method for a payer client or a payee client provided by the embodiment of the present application. Compared with the prior art, the data storage method provided by the embodiment of the present application does not Instead of the current highly centralized storage method, the target data is cut into multiple sub-data and stored in multiple storage nodes in the storage network database. This decentralized storage method can effectively reduce the target data being tampered with by the server administrator. In addition, by storing the storage information of the target data to each node of the storage network database, each node of the storage network database becomes a witness node of the authenticity of the target data, because the storage Information cannot be easily deleted or tampered with, thus ensuring the traceability and authenticity of target data; in conclusion, the data storage method provided in this application can effectively improve the security and traceability of data storage.

Corresponding to the above data storage method for a payer client or a payee client, the present application further provides a data storage device. The apparatus may include systems (including distributed systems), software (applications), modules, components, servers, clients, quantum computers, etc. using the data storage method described in this application, in combination with necessary implementation hardware apparatus. Based on the same innovative idea, the device in an embodiment provided by the present application is described in the following embodiment. Since the implementation solution of the device to solve the problem is similar to the method, the implementation of the specific device of the present application may refer to the implementation of the foregoing method, and the repetition will not be repeated. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, implementations in hardware, or a combination of software and hardware, are also possible and contemplated.

Specifically, FIG. 2 is a schematic diagram of a module structure of an embodiment of a data storage device provided by the present application. As shown in FIG. 2 , the data storage device 10 may include:

A target data acquisition module 101, configured to acquire target data to be stored;

The target data storage module 102 is used to cut the target data into multiple sub-data and store them in multiple storage nodes in the storage network database;

The storage information distribution module 103 is configured to store the storage information of the target data to each node of the storage network database.

In some modified implementations of the embodiments of the present application, the target data storage module 102 includes:

a storage node determination unit, used for selecting a plurality of storage nodes for storing the target data from the storage network database using a consensus mechanism;

A target data storage unit, configured to cut the target data into a plurality of sub-data and store them in the plurality of storage nodes.

In some modified implementations of the embodiments of the present application, the storage information distribution module 103 includes:

a storage information generating unit for generating storage information of the target data;

a data packet generating unit for generating a data packet according to the storage information;

A data packet storage unit, configured to store the data packets to each node of the storage network database.

In some modified implementations of the embodiments of the present application, the storage information generating unit includes:

a fingerprint generating subunit, configured to generate fingerprint information of the subdata for each of the plurality of subdata;

a node identifier determination subunit, used for determining the node identifiers of the respective storage nodes of the plurality of sub-data;

A storage information generating subunit is configured to generate storage information of the target data according to the data identifier of the target data, the fingerprint information corresponding to each of the multiple sub-data, and the node identifier of the storage node.

In some modified implementations of the embodiments of the present application, the fingerprint generation subunit includes:

a data identification obtaining subunit, used for obtaining the data identification of the subdata;

The summary information generating subunit is used for generating summary information of the sub-data by adopting a message digest algorithm;

The fingerprint information generating subunit is configured to generate fingerprint information of the sub-data according to the data identification of the sub-data and the abstract information.

In some modified implementations of the embodiments of the present application, the data packet generating unit includes:

A historical data query subunit, used for searching the historical storage data packets of the target data in the storage network database according to the data identification or summary information of the target data;

A historical data summary subunit for generating the summary information of the historical storage data packet;

The first data generating subunit is configured to generate a storage data packet according to the storage information and the summary information of the historical storage data packet.

In some modified implementations of the embodiments of the present application, the data packet generating unit includes:

The previous storage query subunit is used to search the data packet corresponding to the last storage event in the storage network database;

The previous storage summary subunit is used to generate the summary information of the data packet corresponding to the last storage event;

The first data generation subunit is configured to generate a storage data packet according to the storage information and the summary information of the data packet corresponding to the last storage event.

The data storage device 10 provided by the embodiments of the present application and the data storage methods provided by the foregoing embodiments of the present application are based on the same inventive concept and have the same beneficial effects.

In the above-mentioned embodiments, a data storage method and device are provided. Correspondingly, the present application also provides a terminal device. The terminal device can be any electronic device with a storage function, and can be used as a terminal device. Stores nodes in a network database, for example, servers, server clusters, desktop computers, laptops, smartphones, etc. Please refer to FIG. 3 , which is a schematic diagram of a terminal device according to an embodiment of the present application. As shown in FIG. 3 , the terminal device 20 includes: a processor 200 , a memory 201 , a bus 202 and a communication interface 203 , and the processor 200 , the communication interface 203 and the memory 201 are connected through the bus 202 ; There is a computer program that can be run on the processor 200, and when the processor 200 runs the computer program, any data storage method provided in this application is executed.

The memory 201 may include a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as multiple disk memories. The communication connection between the network element of the system and a plurality of other network elements is realized through a plurality of communication interfaces 203 (which may be wired or wireless), and the Internet, a wide area network, a local network, a metropolitan area network, etc. may be used.

The bus 202 may be an ISA bus, a PCI bus, an EISA bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, and the like. The memory 201 is used to store a program, and the processor 200 executes the program after receiving the execution instruction. The data storage method disclosed in any of the foregoing embodiments of the present application may be applied to the processor 200, Or implemented by the processor 200 .

The processor 200 may be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above-mentioned method can be completed by an integrated logic circuit of hardware in the processor 200 or an instruction in the form of software. The above-mentioned processor 200 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component. The methods, steps, and logic block diagrams disclosed in the embodiments of this application can be implemented or executed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the methods disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201, and completes the steps of the above method in combination with its hardware.

The terminal device provided by the embodiments of the present application and the data storage method provided by the embodiments of the present application are based on the same inventive concept and have the same beneficial effects.

The embodiment of the present application further provides a computer-readable medium corresponding to the above data storage method, please refer to FIG. 4 , the computer-readable storage medium shown is an optical disc 30 on which a computer program (ie, a program product) is stored , when the computer program is executed by the processor, the data storage method provided by any of the foregoing embodiments will be executed.

It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random Access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media will not be repeated here.

The computer-readable storage medium provided by the embodiments of the present application and the data storage provided by the embodiments of the present application are based on the same inventive concept and have the same beneficial effects.

It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces, indirect coupling or communication connection of devices or units, which may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features thereof can be equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present application. scope, which shall be included in the scope of the claims and description of the present application.

Claims (5)

1. a traceable data storage method, is characterized in that, comprises: Get the target data to be stored; The target data is cut into multiple sub-data and stored in multiple storage nodes in the storage network database; storing the storage information of the target data to each node of the storage network database; in, The storing of the storage information of the target data to each node of the storage network database includes: generating storage information of the target data; generating a data packet according to the stored information; storing the data packets to each node of the storage network database; in, The storage information of the target data includes the data identifier of the target data, the fingerprint information corresponding to each of the multiple sub-data of the current version of the target data, and the node identifier of the storage node; The generating a data packet according to the stored information includes: According to the data identification or summary information of the target data, the historical storage data package of the target data is searched in the storage network database, wherein the historical storage data package is the storage data package of the historical version of the target data, including The data identifier of the target data, the fingerprint information corresponding to each of the multiple sub-data of the historical version of the target data, and the node identifier of the storage node; generating the summary information of the historical storage data packet, the data volume of the summary information is less than the data volume of the historical storage data packet; A storage data packet is generated according to the storage information and the summary information of the historical storage data packet. 2. The method according to claim 1, wherein the storing the target data into a plurality of sub-data and storing them in a plurality of storage nodes in a storage network database comprises: A consensus mechanism is used to select a plurality of storage nodes for storing the target data from the storage network database; The target data is cut into multiple sub-data and stored in the multiple storage nodes. 3. The method according to claim 1, wherein the generating the storage information of the target data comprises: for each of the plurality of sub-data, generating fingerprint information of the sub-data; determining the node identifiers of the respective storage nodes of the plurality of sub-data; The storage information of the target data is generated according to the data identifier of the target data, the fingerprint information corresponding to each of the plurality of sub-data, and the node identifier of the storage node. 4. The method according to claim 3, wherein the generating the fingerprint information of the sub-data comprises: obtaining the data identifier of the sub-data; Use a message digest algorithm to generate summary information of the sub-data; The fingerprint information of the sub-data is generated according to the data identification of the sub-data and the summary information. 5. The method according to claim 1, wherein the generating a data packet according to the storage information comprises: Find the data packet corresponding to the last storage event in the storage network database; generating the summary information of the data packet corresponding to the last storage event; A storage data packet is generated according to the storage information and the summary information of the data packet corresponding to the last storage event.

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