A taxonomy of malicious traffic for intrusion detection systems

Pre-print

Hindy, H., Hodo, E., Bayne, E., Seeam, A., Atkinson, R. and Bellekens, X. 2018. A taxonomy of malicious traffic for intrusion detection systems. https://doi.org/10.48550/arXiv.1806.03516
TypePre-print
TitleA taxonomy of malicious traffic for intrusion detection systems
AuthorsHindy, 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 ThemeCreativity, Culture & Enterprise
Preprint server/collectionarXiv
Publication dates
Online09 Jun 2018
Publication process dates
Deposited04 Oct 2022
Accepted01 May 2018
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.48550/arXiv.1806.03516
LanguageEnglish
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