2013 · 30 citations · 10 references
ComputingComputer ScienceCybersecurityComputer SecurityMachine LearningNetwork SecurityBot DetectionBotnet AnalysisNetwork EncryptionThreat DetectionBot ClassificationBot Detection RobustnessBot Traffic DetectionBotnet DetectionBotnet Traffic AnalysisBotnet Traffic DetectionDeep Packet InspectionPacket Inspection
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.
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