Intrusion Detection System Based on Machine Learning

Intrusion detection system has some defects,such as signatures being generated manually,updating difficulty and doing nothing in front of large data set.This paper discusses intrusion detection system with machine learning techniques.By making usage of Gene algorithm and Bayes classifiers,the defects mentioned above can be reduced to some extent and some tests have been done to show machine learning magic capability in intrusion detection system.