A taxonomy of malicious traffic for intrusion detection systems

Conference paper

Hindy, H., Hodo, E., Bayne, E., Seeam, A., Atkinson, R. and Bellekens, X. 2018. A taxonomy of malicious traffic for intrusion detection systems. International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). Glasgow, UK 11 - 12 Jun 2018 IEEE. https://doi.org/10.1109/CyberSA.2018.8551386
TypeConference paper
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
ConferenceInternational Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
Proceedings Title2018 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, CyberSA 2018
ISBN
Electronic9781538645659
Paperback9781538645666
PublisherIEEE
Publication dates
Online29 Nov 2018
Print12 Jun 2018
Publication process dates
Deposited03 Oct 2022
Accepted01 May 2018
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/CyberSA.2018.8551386
LanguageEnglish
Book title2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
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