Over the past several years, the Internet environment has become more complex and untrusted. Enterprise networked systems are inevitably exposed to the increasing threats posed by hackers as well as malicious users internal to a network. IDS technology is one of the important tools used now-a-days, to counter such threats. Various IDS techniques has been proposed, which identifies and alarms for such threats or attacks. IDS are an essential component of the network to be secured. The traditional IDS are unable to manage various newly arising attacks. To deal with these new problems of networks, data mining based IDS are opening new research avenues.. Data mining provides a wide range of techniques to classify these attacks. The paper provides a study on the various data mining based intrusion detection techniques.
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