Analysis of Artificial Immune Systems with Network Intrusion Detection Implementation

This study analyzes the principles of artificial immune systems and implements a network intrusion detection system using the negative selection algorithm. The system incorporates an r-chunk matching rule for anomaly event recognition, with vulnerability analysis conducted on the rule-set to enhance detection accuracy and security robustness.