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Title: Evaluating the Security of Anonymized Big Graph/Structural Data

Speaker: Shouling Ji (Overseas Talents, Ph.D. in Georgia Tech )

Time: 10:00~11:30, September 7

Address: Room 3224 (Building No.3, Jingxiang Park)

 

Abstract:                                        

In this talk, we first summarize and discuss state-of-the-art graph anonymization techniques and de-anonymization attacks, and introduce the de-anonymization attacks presented by us. Subsequently, we study the theoretical foundation for the success of existing de-anonymization attacks along with large-scale evaluations on real-world graph data. Third, we propose, design, and implement SecGraph, a uniform and open-source Secure Graph data sharing/publishing system. Finally, we will discuss some future research directions.

 

Shouling Ji’s Short Bio:

Shouling Ji is a Ph.D. candidate in the School of Electrical and Computer Engineering at Georgia Institute of Technology (Georgia Tech). He is expected to graduate in Fall 2015 and then be a Research Faculty at Georgia Tech. He received his first Ph.D. degree from the Department of Computer Science at Georgia State University in 2013. Shouling Ji’s current research interests include Big Data Security and Privacy, Differential Privacy, Password Security, and Machine Learning Security and Privacy. He also has interests on Graph Theory and Algorithms, and Wireless Networks. He was a research intern at the IBM T. J. Watson Research Center in Summer 2015. Shouling Ji is now a student member of ACM, IEEE, USENIX, and IEEE COMSOC. He was the Membership Chair of the IEEE Student Branch at Georgia State (2012-2013). Shouling Ji is the recipient of three best paper awards, 2012 Graduate Research Award (GSU), and the 2012 Chinese Government Award for Outstanding Self-Financed Students Abroad.