Research on Network Security Situation Prediction-Oriented Adaptive Learning Neuron

Network security situation perception is to predict the probability of attacks, may occur in the future, by a variety of predicting methods, by recent network attacking data obtained from IDS (Intrusion Detection System). Neural Network model has many features, high degree of fault tolerance, associability, self-organizing and self-learning ability, and strong nonlinear mapping and generalization for a complex system, for example. Therefore, Neural Network was applied to the field of network security situation prediction. Adaptive Learning of neuron was introduced. It will be more flexibility to meet changing security environment of such a complex system requirements. The design and achievement of the adaptive learning neuron was stated in detail.