Research On Intrusion Detection System Based On Artificial Immune For Power Information Network

Apply the principle of artificial immune system to intrusion detection and form intrusion detection system based on artificial immune system. A dynamic clone selection algorithm based on genetic algorithm is proposed. The matching rule of r-continuous-bit is improved and the memory detector set is optimized based on genetic algorithm. It it proved that detector set generated by this algorithm with higher detection rate. Analyze the structure and function of electricity market operation system. Aimed at the intrusion issue existed in electricity market operation system, an intrusion detection model based on artificial immune is proposed. It is proved by experiment that the intrusion detection model can detect kinds of attacks in electricity market operation system effectively.