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Issue No.10 - October (2009 vol.42)
pp: 78-86
Ahmed Abbasi , University of Wisconsin-Milwaukee
Hsinchun Chen , University of Arizona
ABSTRACT
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.
INDEX TERMS
machine learning, artificial Intelligence, computing methodologies, Web text analysis, natural language processing, computer systems organization
CITATION
Ahmed Abbasi, Hsinchun Chen, "A Comparison of Tools for Detecting Fake Websites", Computer, vol.42, no. 10, pp. 78-86, October 2009, doi:10.1109/MC.2009.306
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