A Comparison of Tools for Detecting Fake Websites

  • Authors:
  • Ahmed Abbasi;Hsinchun Chen

  • Affiliations:
  • University of Wisconsin-Milwaukee;University of Arizona

  • Venue:
  • Computer
  • Year:
  • 2009

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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.