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Intrusion Detection (ID) is the main research area in field of network security. It involves the monitoring of the events occurring in a computer system and its network. Data mining is one of the technologies applied to ID to invent a new pattern from the massive network data as well as to reduce the strain of the manual compilations of the intrusion and normal behavior patterns. Keeping in mind, data mining techniques are practiced significantly intrusion detection and prevention. This paper reviews the current state of art Data mining techniques with ID in brief and highlights its advantages and disadvantages.
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