A Theoretical Analysis of Feature Selection Methods in Machine Learning-Based Intrusion Detection Systems
With the increasing complexity of the network environment, more and more machine learning-based Intrusion Detection Systems (IDS) are now being applied to identify unusual behaviour in network traffic. Many Dimensions and excess Redundancy reduce Detection Accuracy and Computation Efficiency. Therefore, to enhance the...