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A Survey on Areas in Data Mining for Intrusion Detection
Abstract
Intrusion detection is the act of detecting activities that compromise the confidentiality, integrity and availability of a resource. Data Mining is the process of analyzing huge amounts of data to obtain useful information for the required cause. This paper presents various techniques used to detect intrusions along with their pros and cons. An efficient detection method must provide proper diagnosis of any obstruction with greater accuracy and low false alarm rate.
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References
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