Recognition of coordinated adversarial behaviors from multi-source information

Georgiy M. Levchuk; Djuana Lea; Krishna R. Pattipati

doi:10.1117/12.777150

16 April 2008 Recognition of coordinated adversarial behaviors from multi-source information

Georgiy M. Levchuk, Djuana Lea, Krishna R. Pattipati

Proceedings Volume 6943, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII; 694305 (2008) https://doi.org/10.1117/12.777150
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

To successfully predict the actions of an adversary and develop effective counteractions, knowledge of the enemy's mission and organization are needed. In this paper, we present new models and algorithms to identify behaviors of adversaries based on probabilistic inference of two main signatures of behavior: plans (what the enemy wants to do) and organizations (how the enemy is organized and who is responsible for what). The technology allows extraction, classification, and temporal tracking of behavior signatures using multi-source data, as well as prescribes intelligence collection plans to reduce the ambiguity in current predictions.

Citation Download Citation

Georgiy M. Levchuk, Djuana Lea, and Krishna R. Pattipati "Recognition of coordinated adversarial behaviors from multi-source information", Proc. SPIE 6943, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VII, 694305 (16 April 2008); https://doi.org/10.1117/12.777150

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