Abstract
Computer networks are very functional in different fields so, the security of them should be provided. Many methods have been proposed for intrusion detection in computer networks. Software methods have been studied more than other methods. Machine learning methods have a good performance. In this paper, some of classification and clustering methods will be reviewed. Their structure will be described, how of use and adjust them and mainly advantages and disadvantages will be studied. And in the end, after introducing, described, criticized and checked, proceeded to the experiment and compare results of introduced methods with KDD cup99 data set.
