Social Location privacy Protection method in vehicular social networks

Abstract

Location-disclosure is a major privacy issue in vehicular social networks when people are interested in traffic-related cooperation drive, location-aware services, and other applications. In this paper, we propose a Social-aware Location-privacy Protection (SLP) method in vehicular social networks to protect location privacy. This method enables trustworthy users to obfuscate an original sender's location with the help of their regions. We also provide a metric for choosing a trustworthy user to help the original sender. Experiments show that our method improves success ratio by more than 20% compared to the existing method, and the probability of an attacker guessing user's location correctly is about 0.05 which is quite small.