Research On Intrusion Detection System Based On Independent Component Analysis

With the evolution of Network technologyjnternet takes more and more great part in our life.In the same time, the security of network become the focus of people .The traditonal method used for defence is adopt as strategy of prohibit,such as firewall,encrypt,access control,security system e.t.These methods all have some impact on defence,but from the view of system security management.but they are not enough only for defence.Intrusion detection system can detect outside attack or misuse,it is an kind of logical compensation for defence.As an new kind of signal process method,Independent Component Analysis (ICA) has been applied on many domains such as finance, biomedicine, image manipulation and so on.We apply the model of ICA on Intrusion Detection System and propose three new IDS algorithmes which combine the idea of K_mean algorithm,peseduo bayesian estimator and support vector machine with ICA in this paper .In the space assured by ICA,the three algorithms can prove the performance of classfier.The reasearch can be directly used on the data analysis modol of Intrusion Detection System and other domains.