Detecting encrypted botnet traffic

Han Zhang, C. Papadopoulos, D. Massey
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引用次数: 33

Abstract

Bot detection methods that rely on deep packet inspection (DPI) can be foiled by encryption. Encryption, however, increases entropy. This paper investigates whether adding highentropy detectors to an existing bot detection tool that uses DPI can restore some of the bot visibility. We present two high-entropy classifiers, and use one of them to enhance BotHunter. Our results show that while BotHunter misses about 50% of the bots when they employ encryption, our high-entropy classifier restores most of its ability to detect bots, even when they use encryption.
检测加密的僵尸网络流量
依赖于深度包检测(DPI)的Bot检测方法可以通过加密来阻止。然而,加密会增加熵。本文研究了将高熵检测器添加到使用DPI的现有机器人检测工具中是否可以恢复一些机器人可见性。我们提出了两个高熵分类器,并使用其中一个来增强BotHunter。我们的结果表明,虽然BotHunter在使用加密时错过了大约50%的机器人,但我们的高熵分类器恢复了大部分检测机器人的能力,即使它们使用加密。
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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