A Taxonomy of Malicious Traffic for Intrusion Detection Systems
June 09, 2018 ยท The Cartographer ยท ๐ 2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
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"Title-pattern auto-detect: A Taxonomy of Malicious Traffic for Intrusion Detection Systems"
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Authors
Hanan Hindy, Elike Hodo, Ethan Bayne, Amar Seeam, Robert Atkinson, Xavier Bellekens
arXiv ID
1806.03516
Category
cs.CR: Cryptography & Security
Citations
15
Venue
2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
Last Checked
2 days ago
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.
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