学术讲座-An Overview of Privacy Preservation

讲座题目

An Overview of Privacy Preservation

讲 座 人

王学亮

讲座人

职称、职务

教授、博导

主持人

邹复民

讲座类型

R自然科学

讲座对象

全校师生

举办时间

6月5日10:30

□社会科学

举办地点

信息科学与工程学院C2-1楼会议室

讲

座

人

简

介

Leon Shyue-Liang Wang received his Ph.D. from State University of New York at Stony Brook in 1984.  From 1984 to 1994, he joined the University of New Haven and New York Institute of Technology as assistant/associate professor.  From 1994 to 2002, he joined I-Shou University in Taiwan and served as director of computing center, chairman of information management department, and director of library. From 2003 to 2007, he rejoined NYIT.  From 2009 to 2013, he was professor, chairman, and Dean of College of Management at National University of Kaohsiung, Taiwan. From August 2012, he started to serve as Vice President of the University. He is recipient of the 2011-2014, 2014-2017 national flexible wage awards from Ministry of Education in Taiwan, and a Fellow of Institute of Engineering and Technology in UK. He is president of Taiwanese Association of Social Networks and Editor-In-Chief of International Journal of Information Privacy, Security and Integrity. He has published over 200 papers in the areas of data mining, privacy preservation, soft computing, and served PC member and session chair of over 120 international conferences.

讲      座

主要内容

In recent years, social network research has advanced significantly. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of social network analysis and mining in academia, politics, homeland security and business. However, growing popularity of on-line social networking, not only brings the convenience of information sharing but also concerns of privacy breaches, as sensitive information, through links and inferences, individual’s identity, health, financial status, political affiliations, etc, might be disclosed. In order to preserve privacy of users, anonymization is required prior to attempts to make the data more widely available to public. In this presentation, we will first introduce some well-known motivating examples and current practices, and then concentrate on introducing recent studies in privacy preservation on published data such as relational, transactional, social network data, spatial data, and mobile data. We conclude by raising several issues faced by current privacy preservation on social network analysis and mining.