Anomaly Based Intrusion Detection using Feature Relevance and Negative Selection Algorithm

With the increase in the use of internet, the job of malicious people has been made easy to exploit vulnerabilities in existing system. Intrusion Detection System (IDS) plays a major role in computer/network security in recognizing such malicious activity called intrusion. IDSs' quick and correct detection of unknown intrusions help in reducing damage/loss to the sensitive information. IDS with such quality need to be encouraged. An IDS must analyze a different set of attributes to decide upon a monitored information as normal or abnormal.