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arXiv · 1806.03516

A Taxonomy of Malicious Traffic for Intrusion Detection Systems

Hanan Hindy·Elike Hodo·Ethan Bayne·Amar Seeam·Robert Atkinson·Xavier Bellekens
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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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Hanan Hindy, Elike Hodo, Ethan Bayne, Amar Seeam, Robert Atkinson, Xavier Bellekens. 2018-06-09. A Taxonomy of Malicious Traffic for Intrusion Detection Systems. https://arxiv.org/abs/1806.03516

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