A study of Intrusion Detection using data mining

Every enterprise wants to protect their data from both the internal and external attackers. In this initiative firewall, encryption, and authentication serve as the first line of defense. And Intrusion Detection serves as the second line of defense. IDS may use either anomaly based approach or misuse based approach. Traditional IDS were making use of misuse based approach. The drawback of misuse based approach is that it cannot detect new type of attacks. Hence anomaly based intrusion detection were used and it is capable of detecting unknown attacks also. Anomaly based intrusion detection makes extensive use of data mining because of the advantage it provides. In this paper we try to explore the features of intrusion detection based on data mining.