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Data exfiltration over the DNS protocol and its detection have beenresearched extensively in recent years. Prior studies focused on offlinedetection methods, which although capable of detecting attacks, allow a largeamount of data to be exfiltrated before the attack is detected and dealt with.In this paper, we introduce Information-based Heavy Hitters (ibHH), a real-timedetection method which is based on live estimations of the amount ofinformation transmitted to registered domains. ibHH uses constant-size memoryand supports constant-time queries, which makes it suitable for deployment onrecursive DNS servers to further reduce detection and response time. In ourevaluation, we compared the performance of the proposed method to that ofleading state-of-the-art DNS exfiltration detection methods on real-worlddatasets comprising over 250 billion DNS queries. The evaluation demonstratesibHH's ability to successfully detect exfiltration rates as slow as 0.7B/s,with a false positive alert rate of less than 0.004, with significantly lowerresource consumption compared to other methods.

Information-Based Heavy Hitters for Real-Time DNS Data Exfiltration Detection and Prevention