There are rapidly increasing attacks on computers creates a problem for network administration for averting the computer from these attacks. There are many conventional intrusion detection systems (IDS) is present but they are unable to prevent computer system completely. These IDS finds the spiteful actions on net traffics and they find the anomalies in network system. But in numerous instances they are unable for detecting spiteful actions in the networks. There is human interaction is also required to process the network traffic or detect malicious activity. In this paper we present various data mining algorithms helps in machine learning to detect intrusion accurately.

Intrusion Detection system, Anomaly detection, deep belief network, state preserving extreme learning machine

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