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Issue No. 10 - October (2009 vol. 42)
ISSN: 0018-9162
pp: 78-86
Ahmed Abbasi , University of Wisconsin-Milwaukee
Hsinchun Chen , University of Arizona
As fake website developers become more innovative, so too must the tools used to protect Internet users. A proposed system combines a support vector machine classifier and a rich feature set derived from website text, linkage, and images to better detect fraudulent sites.
machine learning, artificial Intelligence, computing methodologies, Web text analysis, natural language processing, computer systems organization

A. Abbasi and H. Chen, "A Comparison of Tools for Detecting Fake Websites," in Computer, vol. 42, no. , pp. 78-86, 2009.
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