A comparison of tools for detecting fake websites

Ahmed Abbasi, Hsinchun Chen

Research output: Contribution to specialist publicationArticle

38 Scopus citations


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.

Original languageEnglish (US)
Number of pages9
Specialist publicationComputer
StatePublished - Oct 28 2009


  • Artificial Intelligence
  • Computer systems organization
  • Computing methodologies
  • Machine learning
  • Natural language processing
  • Web text analysis

ASJC Scopus subject areas

  • Computer Science(all)

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