A formal framework for positive and negative detection schemes

Fernando Esponda1, Stephanie Forrest, Paul Helman

  • 1Computer Science Department, University of New Mexico, Albuquerque, NM 87131, USA. fesponda@cs.unm.edu

Summary

Anomaly detection models normal behavior, identifying deviations as anomalies. This study analyzes tradeoffs between positive and negative detection schemes, introducing a new r-chunks matching rule for improved pattern recognition.

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