讲座题目：Big Data Analysis and Security for Mobile Social Networks

讲座人: 张宽 博士 加拿大滑铁卢大学博士后

讲座时间：15:30

讲座日期：2017-6-19

地点：长安校区 文津楼三段 ABG欧博网平台登录6层622报告厅

主办单位：ABG欧博网平台登录 网络与信息安全团队

简介:

Mobile Social Network (MSN), as an emerging social network platform, has become increasingly popular and brought immense benefits. However, big data challenges and security concerns rise as the boom of MSN applications comes up. In this talk, we will present big data and security challenges in MSNs, and introduce big data analysis solutions. First, to detect misbehaviors during data sharing, we present a social-based mobile Sybil detection scheme (SMSD). The SMSD analyzes user's social behaviors during networking and detects Sybil attackers by differentiating the abnormal pseudonym changing and contact behaviors, since Sybil attackers usually frequently or rapidly change their pseudonyms to cheat legitimate users. Then, we introduce a social network based infection analysis system, to analyze the instantaneous infectivity during human-to-human contact. We also present privacy-preserving data query and classification methods to achieve big data analysis and privacy in this infection analysis system. This talk will close with a brief discussion of future work on big data and security.
 
报告人:
Dr. Kuan Zhang received his Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, Canada, in 2016. He received B.Sc. degree in Communication Engineering and M.Sc. degree in Computer Science from Northeastern University, China, in 2009 and 2011, respectively. Currently, he is a postdoctoral fellow with the Department of Electrical and Computer Engineering, University of Waterloo. His research interests include big data analysis and security for mobile social networks, mobile healthcare, cyber physical system, and cloud computing.