通过词法分析检测恶意域

Egon Kidmose, Matija Stevanovic, J. Pedersen
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引用次数: 6

摘要

恶意域名在许多恶意操作中扮演着重要的角色:例如,僵尸网络在连接到命令和控制服务器时使用它们来避免硬编码的IP地址,并且在分发垃圾邮件和网络钓鱼电子邮件时被犯罪分子大量使用。因此,能够识别恶意域名并阻止有害流量是创建更安全的网络环境的关键之一。在本文中,我们展示了域名的词法分析如何在与其他基本域名特征相结合时有助于提高精度并减少误报的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Malicious domains through lexical analysis
Malicious domains play an important role for many malicious operations: For example, botnets use them for avoiding hard-coded IP addresses when connecting to command-and-control servers, and they are heavily used by criminals when distributing spam and phishing emails. Being able to identify malicious domains and block the harmful traffic is therefore one of the keys to create a more secure cyber environment. In this paper we demonstrate how the lexical analysis of domain names can contribute to increasing the precision and decreasing the number of false positives when combined with other basic domain features.
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