An Explainable AI-Based Intrusion Detection System for DNS over HTTPS (DoH) Attacks

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27256

Title:	An Explainable AI-Based Intrusion Detection System for DNS over HTTPS (DoH) Attacks
Authors:	Zebin, T Rezvy, S Luo, Y
Keywords:	secure computing;machine learning;intrusion detection system;explainable AI
Issue Date:	15-Jun-2022
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Zebin, T., and Rezvy, S. and Luo, Y. (2022) 'An Explainable AI-Based Intrusion Detection System for DNS over HTTPS (DoH) Attacks', IEEE Transactions on Information Forensics and Security, 17, pp. 2339 - 2349. doi: 10.1109/TIFS.2022.3183390.
URI:	https://bura.brunel.ac.uk/handle/2438/27256
DOI:	https://doi.org/10.1109/TIFS.2022.3183390
ISSN:	1556-6013
Other Identifiers:	ORCID iDs: Tahmina Zebin https://orcid.org/0000-0003-0437-0570; Yuan Luo https://orcid.org/0000-0002-9812-5543.
Appears in Collections:	Dept of Computer Science Research Papers

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