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Haojin Zhu, Comput. Sci. Dept., Shanghai Jiao Tong Univ., Shanghai, China
Suguo Du, Antai Coll. of Econ. & Manage., Shanghai Jiao Tong Univ., Shanghai, China
Muyuan Li, Comput. Sci. Dept., Shanghai Jiao Tong Univ., Shanghai, China
Zhaoyu Gao, Comput. Sci. Dept., Shanghai Jiao Tong Univ., Shanghai, China
Mobile social networks represent a promising cyber-physical system, which connects mobile nodes within a local physical proximity using mobile smart phones as well as wireless communication. In mobile social networks, the mobile users may, however, face the risk of leaking their personal information and location privacy. In this paper, we first model the secure friend discovery process as a generalized privacy-preserving interest and profile matching problem. We identify a new security threat arising from existing secure friend discovery protocols, coined as runaway attack, which can introduce a serious unfairness issue. To thwart this new threat, we introduce a novel blind vector transformation technique, which could hide the correlation between the original vector and transformed results. Based on this, we propose our privacy-preserving and fairness-aware interest and profile matching protocol, which allows one party to match its interest with the profile of another, without revealing its real interest and profile and vice versa. The detailed security analysis as well as real-world implementations demonstrate the effectiveness and efficiency of the proposed protocol.
Index Terms:
Protocols,Cryptography,Mobile communication,Social network services,Mobile computing,Privacy,mobile social networks,Privacy preserving,friend discovery
Citation:
Haojin Zhu, Suguo Du, Muyuan Li, Zhaoyu Gao, "Fairness-Aware and Privacy-Preserving Friend Matching Protocol in Mobile Social Networks," IEEE Transactions on Emerging Topics in Computing, vol. 1, no. 1, pp. 192-200, June 2013, doi:10.1109/TETC.2013.2279541
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