A Statistical Learning Based System for Fake Website Detection
Computers and Society
2013-10-01 v1 Machine Learning
Abstract
Existing fake website detection systems are unable to effectively detect fake websites. In this study, we advocate the development of fake website detection systems that employ classification methods grounded in statistical learning theory (SLT). Experimental results reveal that a prototype system developed using SLT-based methods outperforms seven existing fake website detection systems on a test bed encompassing 900 real and fake websites.
Keywords
Cite
@article{arxiv.1309.7958,
title = {A Statistical Learning Based System for Fake Website Detection},
author = {Ahmed Abbasi and Zhu Zhang and Hsinchun Chen},
journal= {arXiv preprint arXiv:1309.7958},
year = {2013}
}