A Taxonomy of Malicious Traffic for Intrusion Detection Systems

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...

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Bibliographic Details
Published inarXiv.org
Main Authors Hindy, Hanan, Elike Hodo, Bayne, Ethan, Seeam, Amar, Atkinson, Robert, Bellekens, Xavier
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 09.06.2018
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Summary: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.
ISSN:2331-8422