Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning
Author:
Funder
Canada Research Chair - Tier II
Natural Sciences and Engineering Research Council of Canada — NSERC
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s12083-023-01597-4.pdf
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4. Bortzmeyer S (2015) DNS privacy considerations. RFC 7626
5. Vekshin D, Hynek K, Cejka T (2020) Doh insight: Detecting dns over https by machine learning. In Proceedings of the 15th International Conference on Availability, Reliability and Security, ARES ’20, (New York, NY, USA), Association for Computing Machinery
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