A taxonomy of malicious traffic for intrusion detection systems

Hindy, Hanan ORCID logoORCID: https://orcid.org/0000-0002-5195-8193, Hodo, Elike, Bayne, Ethan ORCID logoORCID: https://orcid.org/0000-0003-1853-2921, Seeam, Amar ORCID logoORCID: https://orcid.org/0000-0001-8203-1545, Atkinson, Robert ORCID logoORCID: https://orcid.org/0000-0002-6206-2229 and Bellekens, Xavier ORCID logoORCID: https://orcid.org/0000-0003-1849-5788 (2018) A taxonomy of malicious traffic for intrusion detection systems. arXiv. [Other] (doi:10.48550/arXiv.1806.03516)

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: Other
Theme:
Additional Information: Preprint
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 36116
Useful Links:
Depositing User: Amar Kumar Seeam
Date Deposited: 04 Oct 2022 14:45
Last Modified: 17 Jan 2023 19:11
URI: https://eprints.mdx.ac.uk/id/eprint/36116

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