Loading [MathJax]/extensions/MathMenu.js
Detecting encrypted botnet traffic | IEEE Conference Publication | IEEE Xplore

Detecting encrypted botnet traffic


Abstract:

Bot detection methods that rely on deep packet inspection (DPI) can be foiled by encryption. Encryption, however, increases entropy. This paper investigates whether addin...Show More

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 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.
Date of Conference: 14-19 April 2013
Date Added to IEEE Xplore: 18 July 2013
ISBN Information:
Conference Location: Turin

Contact IEEE to Subscribe

References

References is not available for this document.