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Statistical pattern recognition techniques have recently been shown to provide a finer balance between misdetections and false alarms than the more conventional intrusion detection approaches, namely misuse detection and anomaly detection. A variety of classical machine learning and pattern recognition algorithms has been applied to intrusion detection with varying levels of success. The paper makes two observations about intrusion detection. One is that intrusion detection is significantly more effective by using multiple sources of information in an intelligent way, which is precisely what human experts rely on.

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Format:PDFSize:455 KB
Date:Jan 2009
Pages:9

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