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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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.


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;