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.

Keywords:
Encryption Botnet Computer science Computer security Entropy (arrow of time) Deep packet inspection Cryptography Network packet Classifier (UML) Artificial intelligence Operating system The Internet

Metrics

30
Cited By
2.83
FWCI (Field Weighted Citation Impact)
19
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Internet Traffic Analysis and Secure E-voting
Physical Sciences →  Computer Science →  Artificial Intelligence
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing

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