A taxonomy of malicious traffic for intrusion detection systems

Hindy, Hanan, Hodo, Elike, Bayne, Ethan, Seeam, Amar ORCID logoORCID: https://orcid.org/0000-0001-8203-1545, Atkinson, Robert and Bellekens, Xavier (2018) A taxonomy of malicious traffic for intrusion detection systems. 2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). In: International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA), 11-12 June 2018, Glasgow, UK. e-ISBN 9781538645659, pbk-ISBN 9781538645666. [Conference or Workshop Item] (doi:10.1109/CyberSA.2018.8551386)

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.

Item Type: Conference or Workshop Item (Paper)
Theme:
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 36115
Depositing User: Amar Kumar Seeam
Date Deposited: 03 Oct 2022 17:22
Last Modified: 03 Oct 2022 17:22
URI: https://eprints.mdx.ac.uk/id/eprint/36115

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