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华中科技大学黑晓军教授学术报告预告
作者：dy
发布日期：2015-11-16
浏览次数：
11月17日（周二）下午3:30到5:00 广C511
报告题目：Attacks and Defenses in Location-Based Social Networks: A Heuristic Number Theory Approach
摘要：The rapid growth of location-based social network (LBSN) applications -- such as WeChat, Momo, and Yik Yak -- has in essence facilitated the promotion of anonymously sharing instant messages and open discussion. These services provide a unique function and breed a unique atmosphere for people to discover their geographic neighborhoods and then communicate. In this paper, we demonstrate how the location-based feature of WeChat can be exploited to determine the user's location with sufficient accuracy in any city from any location in the world. Guided by the number theory, we design and implement two generic algorithms to track anonymous users' locations that can be adapted to any other LBSN services. We evaluated the performance of the proposed algorithms using Matlab simulation experiments and also deployed real-world experiments for validating the methodology. Our results and detailed analysis show that WeChat, and other LBSN services as such, have a potential location privacy leakage. Finally, countermeasures are proposed to mitigate the localization attacks without significantly compromising the quality of service. We expect our research to bring this serious privacy pertinent issue into the spotlight and hopefully motivate better privacy-preserving LBSN designs.
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