Candidate Seminar by Dr. Kuan Zhang

Speaker: Dr. Kuan Zhang
                University of Waterloo

Title: Big Data Analysis and Security for Mobile Social Networks

Date: Wednesday, March 22nd, 2017

Time: 10:00 a.m

Place: EV3.309

ABSTRACT

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.

BIO

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.