Intrusion Detection System (IDS) for Alerting and Classifying Network Attacks

Intrusion Detection System (IDS) is a useful defense technique against network attacks as well host attacks because they can help network/host administrator to detect any security violations by showing alerts. Although IDSs can produce thousands of alerts per day for network security, most of them are false positives. The abundance of false positive alerts can be weak for administrator to find successful attacks and give action on them. The system is implemented to be accurate in IDS by classifying network attacks with the created dataset. And also, the attack classification is tested by using both off-line and on-line alerts from the IDS. Then, the calculation of false alarm rate, the accuracy of the system and the Percentage of Successful Prediction (PSP) are presented to be a good IDS system by reducing the workload of human analyst while classifying network attacks