Colloquia, Seminars and Conference News
Title : Bayeshiled: Bayesian-based anti-phishing toolbar
Date : March 7, 2008. (11:00 am) Tea starts half an hour before each seminar
Location: ITEB 336
Speaker : Prof. Eunjin (EJ) Jung
Abstract:
Identity theft is one of the fastest growing crimes in the nation, and phishing has been a primary tool used for this type of theft. In this paper, we present B-APT, a Bayesian Anti-Phishing Toolbar designed to help users identify phishing websites and protect their sensitive information. Bayesian filters have shown great performance in content-based spam filtering and we adapt a Bayesian filter to detect phishing attacks in the web browser. The experimental results show that our toolbar effectively detects phishing sites, and is also efficient in terms of page load delay. Among the phishing sites in our testbed, BAPT detected 100% of phishing sites while IE and Firefox only detected 64% and 55%, respectively. Netcraft and SpoofGuard show better accuracy, 98% and 90%, respectively.
Bio: Eunjin (EJ) Jung is an assistant professor at the Department of Computer Science at University of Iowa. She received an M.S. and a Ph.D. in Computer Sciences from the University of Texas at Austin. Her research interests are computer security, privacy and anonymity, and fault-tolerance in computer networks and distributed systems. She is currently working on countermeasures against phishing, malware, Sybil attacks and preserving privacy in medical database.
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