【计算机学院】Big Data Analysis and Security for Mobile Social Networks

讲座标题:【计算机学院】Big Data Analysis and Security for Mobile Social Networks

主讲人: 张宽

讲座时间:2017-07-07 09:30:00

讲座地点:杨浦校区跃进楼201

讲座语言:中文,英文

主办单位:计算机科学与技术学院


讲座内容:

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.


主讲人简介:

张宽博士于2016年获得加拿大滑铁卢大学,电气与计算机工程博士学位,于2011年获得东北大学计算机应用技术硕士学位,于2009年获得东北大学通信工程学士学位。张宽博士即将加入内布拉斯卡大学林肯分校,助理教授。2016年6月至2017年7月,张宽博士在加拿大滑铁卢大学从事博士后研究。他的研究方向涉及大数据,安全与隐私保护,社交网络,移动医疗,物联网和云计算等。