Antiphishing through phishing target discovery

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

32 Scopus Citations
View graph of relations

Author(s)

  • Liu Wenyin
  • Gang Liu
  • Bite Qiu
  • Xiaojun Quan

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number5963628
Pages (from-to)52-60
Journal / PublicationIEEE Internet Computing
Volume16
Issue number2
Publication statusPublished - Mar 2012

Abstract

Phishing attacks are growing in both volume and sophistication. The antiphishing method described here collects webpages with either a direct or indirect association with a given suspicious webpage. This enables the discovery of a webpage's so-called "parasitic" community and then ultimately its phishing target - that is, the page with the strongest parasitic relationship to the suspicious webpage. Finding this target lets users determine whether the given webpage is a phishing page. © 2006 IEEE.

Research Area(s)

  • antiphishing, parasitic community, phishing, phishing target, Web document analysis

Citation Format(s)

Antiphishing through phishing target discovery. / Wenyin, Liu; Liu, Gang; Qiu, Bite; Quan, Xiaojun.

In: IEEE Internet Computing, Vol. 16, No. 2, 5963628, 03.2012, p. 52-60.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review