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Published Articles >> Table of Contents >> Abstract
22nd Annual Computer Security Applications Conference (ACSAC'06)
pp. 381-392
Anomaly Based Web Phishing Page Detection
Ying Pan, Singapore Management University, Singapore
Xuhua Ding, Singapore Management University, Singapore
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACSAC.2006.13
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| Abstract |
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Many anti-phishing schemes have recently been proposed
in literature. Despite all those efforts, the threat of
phishing attacks is not mitigated. One of the main reasons
is that phishing attackers have the adaptability to change
their tactics with little cost. In this paper, we propose a
novel approach, which is independent of any specific phishing
implementation. Our idea is to examine the anomalies
in web pages, in particular, the discrepancy between a web
site’s identity and its structural features and HTTP transactions.
It demands neither user expertise nor prior knowledge
of the website. The evasion of our phishing detection
entails high cost to the adversary. As shown by the experiments,
our phishing detector functions with low miss rate
and low false-positive rate.
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 Additional Information
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Citation:
Ying Pan, Xuhua Ding,
"Anomaly Based Web Phishing Page Detection,"
acsac,
pp. 381-392,
22nd Annual Computer Security Applications Conference (ACSAC'06),
2006
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