The Research of Machine Learning Algorithm for Intrusion Detection Techniques
Intrusion detection system is composed of hardware and software, used to detect network to find out possible intrusion or attack. The fast increasing of Web intrusion problems with the rapid development of the Internet technology, there are more and more complicated intrusions the traditional intrusion detection methods cannot work well. One of the major concerns in the research of intrusion detection is to introduce machine learning to improve the performance of Intrusion detection system. In this paper, the authors first introduces the basic structure of the intrusion detection system, then analysis intrusion Detection Techniques Based on Machine Learning Method, including the Bayesian based method, the neural network based method, the data mining based method and the SVM based method.