Research on Detector Generating Algorithm Based on Artificial Immune

The key of intrusion detection system based on artificial immune is generating the Detector set. To generate highly efficient one, we adopt the mutated Nonself-body set to generate candidate detectors and variable threshold R- continues bits matching rule to reduce the number of hole in mature detector, increase the tolerance of the candidate detector and the detector set, to result in mismatch detectors and increase detect ability. Theoretical analysis and experimental results show that the improved algorithm is effective and feasible.