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Invisible man: blockchain-enabled peer-to-peer collaborative privacy games in LBSs

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Abstract

Most user-collaborative location privacy protection mechanisms assume that collaborative group members are trustworthy and can strictly enforce collaboration rules. Such assumptions do not match reality and reduce the usability of the schemes. In this paper, we propose Invisible Man, a blockchain-enabled framework for peer-to-peer collaborative privacy games for location-based services. The framework enables users to protect their privacy in extreme environments and allows members of a collaborative group without trust to collaborate efficiently. To defend against inference attacks, a user-collaborative privacy game model is constructed, and a dual-verification mechanism with Chainlink and Witnet oracles is developed to provide security guarantees for model generation. Members can conduct cooperative games under the guidance of the model. To realize secure and efficient in-group collaboration, a blockchain-based reward and punishment mechanism for collaboration is designed, integrating token incentives and a blacklisting mechanism to ensure the verifiability and audibility of user behaviors. Security analysis and extensive simulation results demonstrate that the proposed scheme achieves high security and privacy with low costs.

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Acknowledgements

The authors gratefully acknowledge the financial assistance provided by the National Natural Science Foundation of China and the Natural Science Foundation of Jiangsu Province.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grants 61502230 and 61501224, the Natural Science Foundation of Jiangsu Province under Grant BK20201357, and the Six Talent Peaks Project in Jiangsu Province under Grant RJFW-020.

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Authors and Affiliations

  1. College of Computer and Information Engineering (College of Artificial Intelligence), Nanjing Tech University, Nanjing, 211816, China

    Beining Zhang, Hang Shen, Tianjing Wang & Guangwei Bai

Authors
  1. Beining Zhang
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  2. Hang Shen
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  3. Tianjing Wang
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  4. Guangwei Bai
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Contributions

Beining Zhang and Hang Shen wrote the main manuscript text. Tianjing Wang and Guangwei Bai provided guiding ideas and suggestions. All authors reviewed the manuscript.

Corresponding author

Correspondence to Hang Shen.

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We declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. We declare that there is no financial interest/personal relationship which may be considered as potential competing interests.

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Zhang, B., Shen, H., Wang, T. et al. Invisible man: blockchain-enabled peer-to-peer collaborative privacy games in LBSs. Peer-to-Peer Netw. Appl. 17, 2595–2607 (2024). https://doi.org/10.1007/s12083-024-01728-5

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