Les systèmes de détections d’intrusion basés sur L’ensemble machine learning

Abstract

This paper examines the different techniques employed in intrusion detection systems, with a focus on Machine Learning. Following this, three ensemble methods in machine learning: Bagging, Boosting, and Voting are introduced. These methods aim to enhance model efficiency by merging several individual models. Finally, a comparison based on accuracy rate is established among these three methods