User Interfaces and Algorithms for Anti-Phishing
Speaker: Jason Hong , Carnegie Mellon HCI Institute
Date: September 28 2007
Time: 2:00PM to 3:00PM
Location: Patil/Kiva Seminar Room G449
Host: Rob Miller, MIT CSAIL
Contact: Michael Bernstein, msbernst@mit.edu
Relevant URL: http://www.cs.cmu.edu/~jasonhPhishing is a growing plague on the Internet, costing customers and businesses anywhere between $1-2.8 billion dollars a year. In this talk, I will present an overview of our work in the Supporting Trust Decisions project.
Our work focuses on developing better user interfaces to help people make better trust decisions, developing training mechanisms to teach people not to fall for phish, and better machine learning and information retrieval algorithms that can automatically detect phishing attacks.
BIO:
Jason Hong joined the School of Computer Science at Carnegie Mellon University in 2004 as an assistant professor in the Human Computer Interaction Institute. He works in the areas of ubiquitous computing and usable privacy and security, focusing on location-based services, anti-phishing, mobile social computing, and end-user programming. He is also an author of the book The Design of Sites, a pattern-based approach to designing customer-centered web sites. He received his PhD from Berkeley and his undergraduate degrees from Georgia Institute of Technology.
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