International Journal of Computer Applications
An Intrusion Detection System (IDS) is an active process or device that analyzes system and network activity for unauthorized entry. Nowadays many intrusion detection systems are developed based on many different machine learning techniques. Some of the models are based on single classifying techniques while some models are based on combining different classifying techniques, such as hybrid or ensemble techniques. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Even if different classification models have been developed for network intrusion detection, each classification technique has its vitality and vulnerability.