Intrusion Detection System Based On Computer Immune

Intrusion Detection technology is the driving protect technology in the network safety technology. With the spreading of Internet, network safety has become the main obstacle in using it at present. It has some advanced problem that detecting rates in system more lower, missing police rates more higher in the traditional Intrusion Detection System. This book aimed this problem; apply computer immunology theory on the Intrusion Detection System. It suggested the model that Intrusion Detection System based on immune system. And having used distributed structure, parallel processing invades behavior. The improvement negative selection algorithm has been used for self being able to bear by detecting. In the process generating the memory cell, has adopt the development clone select algorithm. Has adopt development respond to mechanism, has ensured that the systematic fleetness responds. Be a model's turn to have broken tradition Intrusion Detection model, has improved detecting rates, has reduced mistake police rates. Have sworn to respond to, have stronger robustness in time.