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An Integrated Approach to Filtering Phishing E-mails

机译:筛选网络钓鱼电子邮件的一种综合方法

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摘要

This paper presents a system for classifying e-mails into two categories, legitimate and fraudulent. This classifier system is based on the serial application of three filters: a Bayesian filter that classifies the textual content of e-mails, a rule based filter that classifies the non-grammatical content of e-mails and, finally, a filter based on an emulator of fictitious accesses which classifies the responses from websites referenced by links contained in e-mails. The approach of this system is hybrid, because it uses different classification methods, and also integrated, because it takes into account all kind of data and information contained in e-mails.
机译:本文提出了一种将电子邮件分为合法和欺诈两类的系统。该分类器系统基于三个过滤器的串行应用程序:对电子邮件的文本内容进行分类的贝叶斯过滤器,对电子邮件的非语法内容进行分类的基于规则的过滤器,最后是基于邮件过滤器的过滤器。虚拟访问的仿真器,对来自电子邮件中包含的链接引用的网站的响应进行分类。该系统的方法是混合的,因为它使用了不同的分类方法,并且由于考虑了电子邮件中包含的所有数据和信息,因此也是集成的。

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