Suspicious Network Analysis and Prediction System (SNAPS)

The asymmetric threat poses perhaps the most dangerous risk to US forces and assets both overseas and at home. The sheer amount of data that needs to be analyzed in order to identify suspicious entities and networks is analogous to finding a needle in a haystack. To overcome this problem we must identify advanced techniques to automatically identify networks of suspicious activity while also predicting their intent. The Decisive Analytics Corporation (DAC) and George Mason University (GMU) Team proposes an approach termed the Suspicious Network Analysis and Prediction System (SNAPS). SNAPS provides the capability to ingest disparate data sources of intelligence data, identify key actors and organizations, detect suspicious behavior, and predict and evaluate possible formations of social networks. Our advanced algorithms developed under this effort will be immediately tested on live data from the theater through DAC's Agent-based Intelligence Services (AIS) - a tool that is in the hands of the Warfighter and is performing predictive analysis on Iraq data today.