Hindy, H.; Hodo, E.; Bayne, E.; Seeam, A.; Atkinson, R.; Bellekens, X.

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

Publication dates
Title	A taxonomy of malicious traffic for intrusion detection systems
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
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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