A method of evolutionary neural network based intrusion detection was proposed by combining genetic algorithm with neural network. It is an efficient, parallel and nonlinear dynamitic processing system that satisfies the requirements for real time processing and predicts intrusion detection correctly. By using genetic algorithm the structure of neural network was optimized and then by using the optimized neural network structure the intrusion detection and prealarm were performed.