Applications Of Machine Learning To Anomaly Based Intrusion Detection
This thesis concerns anomaly detection as a mechanism for intrusion detection in a machine learning framework, using two kinds of audit data : system call traces and Unix shell command traces. Anomaly detection systems model the problem of intrusion detection as a problem of self-nonself discriminat...
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| Language: | en_US |
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2009
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| Online Access: | http://hdl.handle.net/2005/391 |