Review Paper on Intrusion Detection Using Data Mining Technique
Now-a-days, Intrusion Detection Systems (IDS) has various issues of rules and attack classification. Intrusion detection systems that practices solitary algorithm, the accuracy and detection rate were not accurate. Increase in the false alarm rate was also come across. Grouping of algorithm is performed to solve this problem. This paper represents two fusion algorithms for developing the intrusion detection system. C4.5 and Support Vector Machine (SVM) algorithms are combined to maximize the accuracy, which is the advantage of C4.5 and reduce the wrong alarm rate which is the advantage of SVM.