A METHOD FOR DATA DIMENSIONALITY REDUCTION IN NETWORK TRAFFIC CLASSIFICATION FOR INTRUSION DETECTION SYSTEMS
The paper addresses the problem of high data dimensionality in network traffic classification, which significantly affects the accuracy, computational complexity, and real-time applicability of intrusion detection systems. Modern network traffic datasets contain a large number of features, many of which are redundant o...