Privacy Vulnerability Analysis on Routing in Mobile Social Networks

Abstract

Mobile social networks (MSNs) are a kind of delay tolerant network that consists of lots of mobile nodes with social characteristics. Recently, many social-aware algorithms have been proposed to address routing problems in MSNs. Because of the social properties introduced to routing, this results in node privacy disclosure. In this paper, analyzing social-based routing strategies, we propose a privacy attack tree model taking all the possible attack on social-based routing into account. This model describes all of the possibilities and approaches of privacy disclosure, and quantifies their the occurrence probability.