Detecting Encrypted Botnet Traffic

被引:0
|
作者
Zhang, Han [1 ]
Papadopoulos, Christos [1 ]
Massey, Dan [1 ]
机构
[1] Colorado State Univ, Dept Comp Sci, Ft Collins, CO 80523 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Bot detection methods that rely on deep packet inspection (DPI) can be foiled by encryption. Encryption, however, increases entropy. This paper investigates whether adding high-entropy 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.
引用
收藏
页码:3453 / 3458
页数:6
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