BAYMOUT, Mohamed TayebBENMERIEM Abdelouahab, Abdelouahab2024-09-252024-09-252024MM/832http://10.10.1.6:4000/handle/123456789/5484This 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 methodsfrsystèmes de détection d’intrusion, Machine Learning, Bagging, Boosting, Voting.Thesis