A Novel Friends Matching Privacy Preserving Strategy in Mobile Social Networks

Abstract

③ (School of Computer Science and Educational Software, Guangzhou University, Guangzhou 510006, China) Abstract: In mobile social networks, people can quickly find potential friends with the same attributes by sharing personal attribute profile. These attribute profiles, however, usually contain sensitive information, if this information gets intercepted by malicious attackers it may result in unpredictable consequences. In this paper, a dual handshake privacy-preserving scheme is proposed based on user pseudo identity anonymous and hash value authentication, which is combined with identity authentication, one-way hash function and key agreement to ensure that malicious attackers can not get the real content of personal profile by identity fraud, attribute forgery, hacking security attributes and eavesdrop secure channel, thus the personal privacy can be protected. At the same time, the scheme relies on the powerful computing and anti-attack ability to trusted third party to reduce the computation cost of the intelligent terminal and security risks. Security and performance analysis demonstrates that this scheme is of high privacy, non-repudiation and verifiability and is more effective than existing solutions.