On Intrusion Detection Technology Based on Machine Learning Method
基于机器学习方法的入侵检测技术的研究

Intrusion Detection(ID)is a new emerging network security technology in the recent 20 years,which can protect the network system from the network attacks effectively.With the rapid development of the network technology and the fast increasing of intrusion problems,the traditional intrusion detection methods cannot work well with the more and more complicated intrusions.So introducing machine learning into intrusion detection systems to improve the performance has become one of the major concerns in the research of intrusion detection.This paper introduces the basic structure of the intrusion detection system and the application of machine learning in intrusion detection,including the Bayes-based method,the neural network-based method,the data mining-based method and the SVM-based method.