A taxonomy of malicious traffic for intrusion detection systems
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Hindy, H., Hodo, E., Bayne, E., Seeam, A., Atkinson, R. and Bellekens, X. 2018. A taxonomy of malicious traffic for intrusion detection systems. arXiv. https://doi.org/10.48550/arXiv.1806.03516
Title | A taxonomy of malicious traffic for intrusion detection systems |
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Authors | Hindy, H., Hodo, E., Bayne, E., Seeam, A., Atkinson, R. and Bellekens, X. |
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. |
Middlesex University Theme | Creativity, Culture & Enterprise |
ISSN | 23318422 |
Journal or Publication | Arxiv |
Publisher or commissioning body | arXiv |
Publication dates | |
Online | 09 Jun 2018 |
Publication process dates | |
Deposited | 04 Oct 2022 |
Accepted | 01 May 2018 |
Output status | Published |
Additional information | Preprint |
Digital Object Identifier (DOI) | https://doi.org/10.48550/arXiv.1806.03516 |
Language | English |
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