Detecting communication anomalies in tactical networks via graph learning

A widely practiced approach for detecting suspicious communication in a network is to formulate the problem as statistical anomaly detection. However, the communication patterns in mission-oriented tactical networks are highly variable and have a much richer structure than incorporated by existing a...

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Bibliographische Detailangaben
Hauptverfasser: Vashist, A., Chadha, R., Kaplan, M., Moeltner, K.
Format: Tagungsbericht
Sprache:eng
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