Network Security Situation Prediction Based on Adaptive Clustering RBF Network
Fangwei Li, Bo Zheng, Jiang Zhu, Zhuxun Peng · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
Proposed is an algorithm for network security situation prediction (NSSP) based on adaptive clustering radical basis function (RBF) neural network. Experiment results show that, the proposed method not only reflects the general trend of network security situation, but also improves the prediction accuracy.