A Review Paper on Data Mining Approach for Feature Selection for Network Intrusion Detection System
Intrusion detection systems in computer network detect intrusion on the basis of some attributes of the network traffic. These attributes provide a way to detect intrusion activity from the coming network traffic. To detect these intrusions, basically training dataset is to be used i.e. KDDCup'99 is used for identifying intrusions in the network traffic by the network intrusion detection system. In this paper, the author discuss the overall mechanism used to reduce the feature set i.e. KDDCup'99 IDS dataset having 41 features to reduce the computational time and training time of network intrusion detection system.