Sensor Exploitation for Evidence and Discovery for Anticipatory Threat Analysis (SEE-DATA)

In addition to organic (i.e., military) sensors, non-organic (i.e., non-government) sensors are ubiquitous, but largely untapped. These sensors capture data that address critical information needs such as detecting emerging activities or pinpointing a targets location. What is needed is a novel sensor discovery and exploitation framework to harvest intelligence from opportunistic sensors and allow analysts to incorporate new sensor data and collaborate both with the system and other analystscorrelating new data with historical intelligence archives, persisting and sharing frame-level annotations, and refining sensor selection for changing needs. In response, we will design and develop an adaptable, plug-and-play system, SEE-DATA, to identify opportunistic sensors and extract features to characterize and exploit the data in real-time. In Phase I, we will: Develop methods to identify opportunistic sensors for information needs of users and algorithms, and update sensor selection for evolving operations. Design a system concept for opportunistic sensor identification and exploitation to provide plug-and-play, cloud-compatible tool integration for characterizing and exploiting real-time sensor data. Capture user requirements for specifying information needs, structuring analysis, and annotating data for search and collaboration. Demonstrate opportunistic sensor identification and exploitation using data from multiple sensors and sensor types to show the validity of our approach.