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A Taxonomy of Malicious Traffic for Intrusion Detection Systems

Published 9 Jun 2018 in cs.CR | (1806.03516v1)

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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