Intrusion Detection System by Using Hybrid Algorithm of Data Mining Technique

The aim of a network-based intrusion detection system (NIDS) is to detect malicious activity that targets a network and its resources. Abnormal activities or behaviors on the network systems could be identified by security systems. But, conventional security systems such as firewall and anti-virus cannot be successful in many abnormal actions. To overcome this problem, accurate and more intelligent intrusion detection systems (IDS) are required. In the last decades, various techniques and solutions have been presented to address the weakness of IDS such as high false alarm rate, low accuracy and time-consuming.