Network Security White Papers
Data Fusion and Cost Minimization for Intrusion Detection
Overview 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.
| Publisher | Institute of Electrical and Electronics Engineers | File Format | |
|---|---|---|---|
| Date Published | January 2009 | ||
| Format | White Papers | ||
| Topics | |||
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