A taxonomy of malicious traffic for intrusion detection systems
Hanan Hindy; Hodo, Elike; Bayne, Ethan; Seeam, Amar; Atkinson, Robert; Bellekens, Xavier;
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.
Other data
| Title | A taxonomy of malicious traffic for intrusion detection systems | Authors | Hanan Hindy ; Hodo, Elike; Bayne, Ethan; Seeam, Amar; Atkinson, Robert; Bellekens, Xavier | Issue Date | 28-Nov-2018 | Conference | 2018 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, CyberSA 2018 | ISBN | 9781538645659 | DOI | 10.1109/CyberSA.2018.8551386 | Scopus ID | 2-s2.0-85059979455 |
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