Abstract
Online social network has become an indispensable part of people’s life, and people are willing to make friends in social network. However, semi-honest social network platforms may reveal users’ private information, which will cause great losses to users. Existing schemes either are based on Secure Multi-party Computation (SMC), which have a lot of resource consumption, or are based on vector dot product calculation, which are vulnerable to statistical attacks. In this paper, we propose an attribute matching scheme based on hierarchical blockchain and Ciphertext Policy Attribute-based Encryption (CP-ABE), which can realize attribute matching in semi-honest servers and offer fine-grained attributes selection for users to get more precise matching. Additionally, a novel blockchain architecture is proposed in our scheme, which reduces the storage consumption and improve running efficiency. Finally, we present the security analysis that the scheme can resist a variety of attacks, and the experiment results demonstrate the feasibility of the scheme.
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Acknowledgments
This research was supported partially by the Fundamental Research Funds for the Central Universities (No. 2019CDQYRJ006), the National Natural Science Foundation of China (No. 61702062, No. 61932006), the Chongqing Research Program of Basic Research and Frontier Technology with Grant (No. cstc2018jcyjAX0334), Key Project of Technology Innovation and Application Development of Chongqing (cstc2019jscx-mbdxX0044), and Overseas Returnees Innovation and Entrepreneurship Support Program of Chongqing (cx2018015).
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Yang, F., Pu, Y., Hu, C., Zhou, Y. (2020). A Blockchain-Based Privacy-Preserving Mechanism for Attribute Matching in Social Networks. In: Yu, D., Dressler, F., Yu, J. (eds) Wireless Algorithms, Systems, and Applications. WASA 2020. Lecture Notes in Computer Science(), vol 12384. Springer, Cham. https://doi.org/10.1007/978-3-030-59016-1_52
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DOI: https://doi.org/10.1007/978-3-030-59016-1_52
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