Bio-Inspired Distributed Decision Algorithms for Anomaly Detection
Technical Report,01 Sep 2012,01 Sep 2016
Rutgers University New Brunswick United States
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This research effort brought together computer scientists and biologists to investigate the potential for self-organizing anomaly detection protocols inspired by those observed naturally in colonies of social insects to provide appropriate, dynamic, detection thresholds for anomalous event patterns on computer system networks to improve early detection and rejection methods to counter malicious threats.
- Computer Systems