Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27256
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dc.contributor.authorZebin, T-
dc.contributor.authorRezvy, S-
dc.contributor.authorLuo, Y-
dc.date.accessioned2023-09-26T17:13:41Z-
dc.date.available2023-09-26T17:13:41Z-
dc.date.issued2022-06-15-
dc.identifierORCID iDs: Tahmina Zebin https://orcid.org/0000-0003-0437-0570; Yuan Luo https://orcid.org/0000-0002-9812-5543.-
dc.identifier.citationZebin, 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.en_US
dc.identifier.issn1556-6013-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27256-
dc.format.extent2339 - 2349-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2022 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. See: https://www.ieee.org/publications/rights/rights-policies.html-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectsecure computingen_US
dc.subjectmachine learningen_US
dc.subjectintrusion detection systemen_US
dc.subjectexplainable AIen_US
dc.titleAn Explainable AI-Based Intrusion Detection System for DNS over HTTPS (DoH) Attacksen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TIFS.2022.3183390-
dc.relation.isPartOfIEEE Transactions on Information Forensics and Security-
pubs.publication-statusPublished-
pubs.volume17-
dc.identifier.eissn1556-6021-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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