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 nation’s ability to defend itself from network-borne attacks.