By the same authors

User Behaviour Based Phishing Websites Detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Publication details

Title of host publication2008 INTERNATIONAL MULTICONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (IMCSIT), VOLS 1 AND 2
DatePublished - 2008
Pages728-735
Number of pages8
PublisherIEEE
Place of PublicationNEW YORK
EditorsM Ganzha, M Paprzycki, T PelechPilichowski
Volume3
Original languageEnglish
ISBN (Print)978-8-36-8-1014-9

Abstract

Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach to detect phishing websites based on analysis of users' online behaviours - i.e., the websites users have visited, and the data users have submitted to those websites. Such user behaviours can not be manipulated freely by attackers; detection based on those data can not only achieve high accuracy, but also is fundamentally resilient against changing deception methods.

    Research areas

  • Phishing Attacks, Phishing Websites Detection, Identity Theft, User Protection

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