Addressing challenges for intrusion detection system using naive Bayes and PCA algorithm

Protect the network from external attacks have become the big challenge which facing networks nowadays. so, monitoring and analysis all the events over network or computer system are known as intrusion detection system. This paper proposed two approaches to addressing intrusion detection system problems. One of this approach is known as Principal Component Analysis (PCA) for feature extraction and applied Naive Bayes approach as a classification problem. so, the model applied on the KDD99 dataset. The obtained results show the increase in detection and accuracy rate as well as a decrease in false positive rate.