Provide a new method for intrusion detection using data mining techniques to defend cyber-attacks

Inability to timely detection of pre-engineered attacks are the most obvious weaknesses in cyber defense. The possession and efficient indigenous methods of intrusion detection in computer networks, defense against cyber attacks will increase. In this study, by using intrusion detection system based on the combination of data mining and clustering methods and artificial neural network is presented. Learning and assessment method using the training data set of Cambridge and by using software and Matlab been Weka. The results show that the three criteria of article Precision, Recall, F- value works better than other methods.