'Attacks learn rules' presentation slideshows

A Machine Learning Approach to Detecting Attacks by Identifying Anomalies in Network Traffic

A Machine Learning Approach to Detecting Attacks by Identifying Anomalies in Network Traffic. A Dissertation by Matthew V. Mahoney Major Advisor: Philip K. Chan. Overview. Related work in intrusion detection Approach Experimental results Simulated network Real background traffic

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