A cross-comparison of feature selection algorithms on multiple cyber security data-sets

Alexander Powell, Darren Bates, Chad van Wyk, Darren de Abreu
2019 South African Forum for Artificial Intelligence Research  
In network intrusion detection, it is essential to detect an attack in realtime and to initiate preventive measures accordingly. This paper aims to evaluate whether SciKit Learn feature selection algorithms improve or worsen the accuracy and processing time of machine learning algorithms when used for network intrusion detection and classification. We develop recommendations of potential machine learning and feature selection algorithms that can be used to obtain a desirable level of accuracy
more » ... ilst significantly reducing the total processing time of the algorithm.
dblp:conf/fair2/PowellBWA19 fatcat:vzb2s5d4ovcxvco4xazbk7bgm4