讲者：美国堪萨斯大学罗勃副教授

时间：2015年6月3日下午4：15

地点：科技楼701

主持人：毛睿

摘要：

In recent years, online social networks like Facebook, Twitter and Google+ have attracted large numbers of users, who willingly share their private information with others. With the advancement of web technology, on the other hand, it becomes easier for malicious applications to pose real privacy threats on such SNS users. Unfortunately, existing privacy protection approaches fall short as they either prevent users from socialization, or mostly focus on social connections instead of contents. We argue that contents such as user attributes and unstructured text messages are critical in privacy protection. In this talk, I will introduce our research efforts on social network content understanding the protection. In particular, I will discuss: (1) the risks associated with attributes and contents, in particular, attribute-reidentification attacks; (2) using social circles for privacy protection and automatic social circle detection; and (3) predicting social network user behaviors, and identifying high-risk nodes in social circles. In this talk, we will also briefly introduce other ongoing research projects at KU InfoSec group.

简历：

Bo Luo is currently an associate professor with EECS department at the University of Kansas. He is the director of the Information Assurance Laboratory (IAL) at KUs Information and Telecommunication Technology Center (ITTC). The IAL has been designated as a National Center for Academic Excellence in Information Assurance Education (CAE/IAE) by National Security Agency (NSA) and Department of Homeland Security (DHS). He received Ph.D. degree from The Pennsylvania State University in 2008, an M.Phil degree from the Chinese University of Hong Kong in 2003, and a B.E. from University of Sciences and Technology of China in 2001. He is interested in information retrieval, information security and privacy.