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User Behaviour Based Phishing Websites Detection

机译:基于用户行为的网络钓鱼网站检测

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摘要

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.
机译:网络钓鱼检测系统主要基于对从Phishers移动到受害者的数据的分析。在本文中,我们描述了一种基于用户在线行为的分析来检测网络钓鱼网站的新方法 - 即,网站用户访问过,数据用户已提交给这些网站。攻击者无法自由操纵这样的用户行为;检测基于这些数据不仅可以实现高精度,而且还具有基本上弹性反对改变欺骗方法。

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