A Taxonomy of Malicious Traffic for Intrusion Detection Systems
Cryptography and Security
2018-06-12 v1
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.
Cite
@article{arxiv.1806.03516,
title = {A Taxonomy of Malicious Traffic for Intrusion Detection Systems},
author = {Hanan Hindy and Elike Hodo and Ethan Bayne and Amar Seeam and Robert Atkinson and Xavier Bellekens},
journal= {arXiv preprint arXiv:1806.03516},
year = {2018}
}
Comments
4 Pages, 2 Figures, Accepted in IEEE CyberSA 2018 Proceedings