A comparison of tools for detecting fake websites

Ahmed Abbasi; Hsinchun Chen

doi:10.1109/MC.2009.306

A comparison of tools for detecting fake websites

Ahmed Abbasi
, Hsinchun Chen

Research output: Contribution to specialist publication › Article

48 Scopus citations

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 language	English (US)
Pages	78-86
Number of pages	9
Volume	42
No	10
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2009.306
State	Published - 2009

Keywords

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

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1109/MC.2009.306

Cite this

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title = "A comparison of tools for detecting fake websites",

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.",

keywords = "Artificial Intelligence, Computer systems organization, Computing methodologies, Machine learning, Natural language processing, Web text analysis",

author = "Ahmed Abbasi and Hsinchun Chen",

year = "2009",

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language = "English (US)",

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pages = "78--86",

journal = "Computer",

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KW - Computer systems organization

KW - Computing methodologies

KW - Machine learning

KW - Natural language processing

KW - Web text analysis

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JF - Computer

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A comparison of tools for detecting fake websites

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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