A comparison of tools for detecting fake websites

Ahmed Abbasi, Hsinchun Chen

Research output: Contribution to journalArticle

29 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)78-86
Number of pages9
JournalComputer
Volume42
Issue number10
DOIs
StatePublished - 2009

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Websites
Support vector machines
Classifiers
Internet

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

A comparison of tools for detecting fake websites. / Abbasi, Ahmed; Chen, Hsinchun.

In: Computer, Vol. 42, No. 10, 2009, p. 78-86.

Research output: Contribution to journalArticle

Abbasi, Ahmed ; Chen, Hsinchun. / A comparison of tools for detecting fake websites. In: Computer. 2009 ; Vol. 42, No. 10. pp. 78-86.
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