Research of intrusion detection based on neural network optimized by adaptive genetic algorithm

The intrusive detection technology is a dynamic security protection technology,it can detect the interior and exterior attacks.The research of intrusion detection based on the neural network is the familiar way of intelligent intrusion detection.Aimed at the problems that neural network is prone to the local optimum and simple genetic algorithm has the shortcoming of slow convergence,it shows a way that combines neural network with genetic algorithm.It makes use of genetic algorithm to optimize the weights of the neural network.Adaptive genetic operation is presented in the course of optimization.And the algorithm is applied into the intrusion detection systems,the result of the experiments shows the method is good for the improvement of the detection rate,and reduction of misreporting rate.