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Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning

Sepideh Niktabe, Arash Habibi Lashkari, Arousha Haghighian Roudsari

2023Peer-to-Peer Networking and Applications13 citationsDOI

Topics & Concepts

OverfittingInterpretabilityComputer scienceProfiling (computer programming)Random forestData miningMachine learningEncryptionArtificial intelligenceThe InternetArtificial neural networkComputer securityWorld Wide WebOperating systemInternet Traffic Analysis and Secure E-votingNetwork Security and Intrusion DetectionSpam and Phishing Detection
Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning | Litcius