A taxonomy of malicious traffic for intrusion detection systems
Hindy, Hanan ORCID: https://orcid.org/0000-0002-5195-8193, Hodo, Elike, Bayne, Ethan
ORCID: https://orcid.org/0000-0003-1853-2921, Seeam, Amar
ORCID: https://orcid.org/0000-0001-8203-1545, Atkinson, Robert
ORCID: https://orcid.org/0000-0002-6206-2229 and Bellekens, Xavier
ORCID: 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 |
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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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