中央研究院  |  資訊科學研究所  |  多媒體網路與系統實驗室
Fighting Phishing with Discriminative Keypoint Features
(NOTE: Sheng-Wei Chen is also known as Kuan-Ta Chen.)

Abstract
Phishing is a form of online identity theft associated with both social engineering and technical subterfuge. As such, it has become a major threat to information security and personal privacy. According to Gartner Inc., in 2007, more than $3.2 billion was lost due to phishing attacks in the US, and 3.6 million people lost money in such attacks. In this article, <b>we present an effective image-based anti-phishing scheme based on discriminative keypoint features in webpages</b>. We use an invariant content descriptor, the <a href="http://imp.iis.sinica.edu.tw/CCH/CCH.htm">Contrast Context Histogram (CCH)</a>, to compute the similarity degree between suspicious pages and authentic pages. The results show that the proposed scheme achieves high accuracy and low error rates.

Materials
Citation
Kuan-Ta Chen, Jau-Yuan Chen, Chun-Rong Huang and Chu-Song Chen, "Fighting Phishing with Discriminative Keypoint Features," IEEE Internet Computing, May, 2009.

BibTex
@ARTICLE{chen09:phish_ic,
  TITLE      = {Fighting Phishing with Discriminative Keypoint Features},
  AUTHOR     = {Kuan-Ta Chen and Jau-Yuan Chen and Chun-Rong Huang and Chu-Song Chen},
  MONTH      = {May},
  PAGES      = {30--37},
  YEAR       = {2009},
  JOURNAL    = {IEEE Internet Computing}
}