Research on Intrusion Detection System Based on Clustering Fuzzy Support Vector Machine
Zhai Jinbiao · International Journal of Security and Its Applications · 2014
Introducing the artificial intelligence learning algorithm to solve the problem of network security is a focus of current research.We introduce the clustering algorithm into artificial intelligence learning algorithm and apply Fuzzy Support Machines to the intrusion detection.We put forward a method which is based on Fuzzy Support Machines.Then, we chose an appropriate RBF kernel function according to the characteristic of intrusion detection.And we get the intrusion detection algorithm based on Fuzzy Support Machines.The algorithm in this paper reduces the training time and improves the efficiency of the algorithm.Experimental results show that this method improves the fuzzy support vector machine training efficiency, and it is also very effective in intrusion detection.The first part of this paper is the introduction of the related problem.The second part is the concept of Fuzzy Support Vector Machine.The third part is the choice of the clustering center.The fourth part is the process of intrusion detection algorithm.The final part is the experiment.