基于用户行为的钓鱼网站检测

2008 International Multiconference on Computer Science and Information Technology Pub Date : 2008-10-01 DOI:10.1109/IMCSIT.2008.4747332

Xun Dong, J. A. Clark, J. Jacob

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引用次数: 34

摘要

网络钓鱼检测系统主要基于对从钓鱼者到受害者的数据移动的分析。在本文中，我们描述了一种基于用户个人在线行为分析的检测网络钓鱼网站的新方法，即用户访问过的网站以及用户向这些网站提交的数据。这样的用户行为不能被攻击者自由操纵;基于这些数据的检测不仅可以达到很高的准确性，而且从根本上能够抵御不断变化的欺骗方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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User behaviour based phishing websites detection

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 userspsila 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.

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来源期刊

2008 International Multiconference on Computer Science and Information Technology

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