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\textsc{Database and Informatics}
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\textsc{Seminar}
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\textit{Countering Spam using Classification Techniques}
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Steve Webb\par
Georgia Institute of Technology
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\textbf{Abstract:} Over the past decade, spam has emerged as one of the most challenging problems facing online information systems.  It is estimated that 170 billion email spam messages are sent every day (approximately 90% of all email traffic), and web spam currently accounts for almost 25% of all web pages.  In this talk, I will survey many of the classification-based approaches that have been proposed to help counter spam.  First, I will describe unique characteristics of spam that make the classification 
process significantly more difficult.    Then, I will provide an overview of the various classification algorithms that researchers have employed to fight email and web spam, comparing the advantages and disadvantages of each technique.  Finally, I will discuss open research topics such as concept drift and adversarial classification, which are still being actively researched in the anti-spam community.

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Bio:

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Steve Webb is a Ph.D. candidate in the College of Computing at the Georgia Institute of Technology.  He is affiliated with the Center for Experimental Research in Computer Systems (CERCS) and the Georgia Tech Information Security Center (GTISC).  Steve's primary research project is the Denial of Information (DoI) Project, and his research focuses on the removal of low-quality information from online information-rich environments (e.g., email systems, the World Wide Web, social networking communities, etc.).\vspace{\fill}
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Thursday, February 21, 2008, 11:30 am\par
Mathematics and Science Center: W303
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\textsc{Mathematics and Computer Science}\par
\textsc{Emory University}
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