Title :
A Comparison of Tools for Detecting Fake Websites
Author :
Abbasi, Ahmed ; Chen, Hsinchun
Author_Institution :
Univ. of Wisconsin-Milwaukee, Milwaukee, WI, USA
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 :
Internet; Web sites; computer crime; support vector machines; Internet users; Website text; fake Website detection; fraudulent sites detection; support vector machine classifier; Couplings; Internet; Protection; Support vector machine classification; Support vector machines; Web text analysis; artificial Intelligence; computer systems organization; computing methodologies; machine learning; natural language processing;
DOI :
10.1109/MC.2009.306
