A taxonomy of malicious traffic for intrusion detection systems
Hindy, Hanan and Hodo, Elike and Bayne, Ethan and Seeam, Amar and Atkinson, Robert and Bellekens, Xavier; (2018) A taxonomy of malicious traffic for intrusion detection systems. In: 2018 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, CyberSA 2018. Institute of Electrical and Electronics Engineers Inc., GBR. ISBN 9781538645659 (https://doi.org/10.1109/CyberSA.2018.8551386)
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Abstract
With the increasing number of network threats it is essential to have a knowledge of existing and new network threats in order to design better intrusion detection systems. In this paper we propose a taxonomy for classifying network attacks in a consistent way, allowing security researchers to focus their efforts on creating accurate intrusion detection systems and targeted datasets.
ORCID iDs
Hindy, Hanan, Hodo, Elike ORCID: https://orcid.org/0000-0002-8686-3418, Bayne, Ethan, Seeam, Amar, Atkinson, Robert ORCID: https://orcid.org/0000-0002-6206-2229 and Bellekens, Xavier ORCID: https://orcid.org/0000-0003-1849-5788;-
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Item type: Book Section ID code: 70971 Dates: DateEvent28 November 2018PublishedNotes: © 2019 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. Subjects: Science > Mathematics > Computer software Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 18 Dec 2019 11:37 Last modified: 11 Nov 2024 15:19 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70971