• DOI:10.1109/KIMAS.2005.1427090
Corpus ID: 27567791

Behavioral anomaly detection in dynamic self-organizing systems: a cognitive fusion approach

@article{Jakobson2005BehavioralAD,
  title={Behavioral anomaly detection in dynamic self-organizing systems: a cognitive fusion approach},
  author={G. Jakobson and L. Lewis and J. Buford},
  journal={International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005.},
  year={2005},
  pages={254-259}
}

G. Jakobson, L. Lewis, J. Buford

Published 2005

Computer Science

International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005.

The detection of, and response to, anomalies is one of the prerequisites of implementing system recovery and adaptation mechanisms in dynamic self-organizing systems. In this paper we propose a cognitive fusion approach to the detection of anomalies appearing in the behavior of dynamic self-organizing systems. Our domain of interest includes sensor networks, mobile ad hoc networks, and tactical battle management. The paper argues for three tiers of processes required for behavioral anomaly… CONTINUE READING

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