A Taxonomy of Malicious Traffic for Intrusion Detection Systems

2018/06/09 by Hindy, Hanan, Hodo, Elike, Bayne, Ethan +3
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.1806.03516

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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