Application of Machine Learning Approaches in Intrusion Detection System

The rapid development of technology reveals several safety concerns for making life more straightforward. advance the Internet over years has increased number attacks on Internet. IDS is one supporting layer data protection. Intrusion Detection Systems (IDS) offer a healthy market climate and prevent misgivings in network. Recently, been used to recognize distinguish risks using Machine Learning (ML). This paper proposed comparative analysis different ML algorithms aimed identify intrusions with SVM, J48, Naive Bayes. also classified. Work KDD-CUP set, their performance checked WEKA software. A comparison techniques such as Naïve Bayes showed that accuracy j48 higher which was (99.96%).