Fairness aware & privacy preserving friend matching protocol

Abstract? Fairness aware & privacy preserving friend matching protocol. 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 < Final Year Projects > 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.

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