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The Algorithms for Intrusion Measurement (AIM) project furthers measurement science in the area of algorithms used in the field of intrusion detection. The team focuses on both new detection metrics and measurements of scalability (more formally algorithmic complexity). This analysis is applied to different phases of the detection lifecycle to include pre-emptive vulnerability analysis, initial attack detection, alert impact, alert aggregation/correlation, and compact log storage. In performing this work, the AIM project seeks to enhance our nationís ability to defend itself from network-borne attacks. Much of this scientific research is conducted in partnership with the Army Research Laboratory (ARL). ARLís participation helps focus the work on solving immediate critical problems facing U.S. Government networks. However, research solutions are made publicly available and are designed to be generally applicable to as many environments as possible.
Mr. Peter Mell