TY - JOUR
T1 - Antiphishing through phishing target discovery
AU - Wenyin, Liu
AU - Liu, Gang
AU - Qiu, Bite
AU - Quan, Xiaojun
PY - 2012/3
Y1 - 2012/3
N2 - 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.
AB - 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.
KW - antiphishing
KW - parasitic community
KW - phishing
KW - phishing target
KW - Web document analysis
UR - http://www.scopus.com/inward/record.url?scp=84863287779&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84863287779&origin=recordpage
U2 - 10.1109/MIC.2011.103
DO - 10.1109/MIC.2011.103
M3 - RGC 21 - Publication in refereed journal
SN - 1089-7801
VL - 16
SP - 52
EP - 60
JO - IEEE Internet Computing
JF - IEEE Internet Computing
IS - 2
M1 - 5963628
ER -