Importance of Machine Learning Techniques to Improve the Open Source Intrusion Detection Systems

Fatimetou Abdou VADHIL (University of Nouakchott Al-assriya)
Mohamedade Farouk NANNE (University of Nouakchott Al-assriya)
Mohamed Lemine SALIHI (University of Nouakchott Al-assriya)

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 9, No 3: September 2021

Nowadays, it became difficult to ensure data security because of the rapid development of information technology according to the Vs of Big Data. To secure a network against malicious activities and to ensure data protection, an intrusion detection system played a very important role. The main objective was to obtain a high-performance solution capable of detecting different types of attacks around the system. The main aim of this paper is to study the lacks of traditional and open source Intrusion Detection Systems and the Machine Learning techniques commonly used to overcome these lacks. A comparison of some existing works by Intrusion Detection System type, detection method, algorithm and accuracy was provided.