A taxonomy of malicious traffic for intrusion detection systems

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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 logoORCID: https://orcid.org/0000-0002-8686-3418, Bayne, Ethan, Seeam, Amar, Atkinson, Robert ORCID logoORCID: https://orcid.org/0000-0002-6206-2229 and Bellekens, Xavier ORCID logoORCID: https://orcid.org/0000-0003-1849-5788;
  • Item type:Book Section
    ID code:70971
    Dates:
    Date
    Event
    28 November 2018
    Published
    Notes:© 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
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