A Comparison of Tools for Detecting Fake Websites

ComputerPublished 1 October 2009

Ahmed Abbasi, Hsinchun Chen

DOI10.1109/mc.2009.306

Source URL

Citations45

SJR quartileQ2

SJR score0.55

SNIP1.02

TL;DR

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.

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

Computer ScienceSocial Sciences

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