Antiphishing through phishing target discovery
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 5963628 |
Pages (from-to) | 52-60 |
Journal / Publication | IEEE Internet Computing |
Volume | 16 |
Issue number | 2 |
Publication status | Published - Mar 2012 |
Link(s)
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 et al.
In: IEEE Internet Computing, Vol. 16, No. 2, 5963628, 03.2012, p. 52-60.
In: IEEE Internet Computing, Vol. 16, No. 2, 5963628, 03.2012, p. 52-60.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review