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Intelligent phishing website detection system using fuzzy techniques.

By Maher R. Aburrous, M. Alamgir Hossain, F. Thabatah and Keshav P. Dahal

Abstract

Phishing websites are forged web pages that are created by malicious people to mimic web pages of real websites and it attempts to defraud people of their personal information.\ud Detecting and identifying Phishing websites is really a complex and dynamic problem involving many factors and criteria, and\ud because of the subjective considerations and the ambiguities involved in the detection, Fuzzy Logic model can be an effective\ud tool in assessing and identifying phishing websites than any other\ud traditional tool since it offers a more natural way of dealing with\ud quality factors rather than exact values. In this paper, we present\ud novel approach to overcome the `fuzziness¿ in traditional website phishing risk assessment and propose an intelligent resilient and effective model for detecting phishing websites. The proposed\ud model is based on FL operators which is used to characterize the\ud website phishing factors and indicators as fuzzy variables and\ud produces six measures and criteria¿s of website phishing attack\ud dimensions with a layer structure. Our experimental results\ud showed the significance and importance of the phishing website\ud criteria (URL & Domain Identity) represented by layer one, and\ud the variety influence of the phishing characteristic layers on the\ud final phishing website rate

Topics: Phishing, Fuzzy logic, Risk assessment, Phishing website criteria, Website detection and identification
Publisher: IEEE
Year: 2008
OAI identifier: oai:bradscholars.brad.ac.uk:10454/2640
Provided by: Bradford Scholars

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