A taxonomy of malicious traffic for intrusion detection systems

Hanan Hindy, Elike Hodo, Ethan Bayne, Amar Seeam, Robert Atkinson, Xavier Bellekens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
55 Downloads (Pure)

Abstract

With the increasing number of network threats it is essential to have a knowledge of existing and new network threats 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.
Original languageEnglish
Title of host publication2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
PublisherIEEE
Number of pages4
ISBN (Electronic)978-1-5386-4565-9
ISBN (Print)978-1-5386-4566-6
DOIs
Publication statusPublished - 29 Nov 2018
EventCyber Science 2018: Security, Safety and Survivability in an era of constant, contemporary and complex Physical and Cyber Attacks - Grand Central Hotel, Glasgow, United Kingdom
Duration: 11 Jun 201812 Jun 2018

Conference

ConferenceCyber Science 2018
Abbreviated titleCyber SA
CountryUnited Kingdom
CityGlasgow
Period11/06/1812/06/18

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Hindy, H., Hodo, E., Bayne, E., Seeam, A., Atkinson, R., & Bellekens, X. (2018). A taxonomy of malicious traffic for intrusion detection systems. In 2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) IEEE . https://doi.org/10.1109/CyberSA.2018.8551386