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Ed Recavarren

Lynn C Yanyo

Brad Richardson

This document presents a system to identify patterns of life associated with the users of radio frequency emitting devices radiating within a monitored volume. These recurring commonalities in human activity can be derived from collected data and subsequent analytics that provide intelligence about those emitters and associated humans present within the monitored environment. The Hlin system provides unique identifiers for detected emitters; insights into the current network relationships between emitters, past and current; human relational networks within the monitored volume; and can identify previous emitter locations prior to detection by the Hlin system. These patterns of life provide a foundation for predicting interactions between humans associated with emitters active in structures within a monitored volume. The Hlin system may also utilize collected information to trace or track devices, and associated users, through the monitored volume.

Forensic analysis of device tracing within monitored volumes

This document presents a system to identify patterns of life associated with the users of radio frequency emitting devices radiating within a monitored volume. These recurring commonalities in human activity can be derived from collected data and subsequent analytics that provide intelligence about those emitters and associated humans present within the monitored volume. The Freya system provides unique identifiers for detected emitters; insights into the current network relationships between emitters, past and current; human relational networks within the monitored volume; and can identify previous emitter locations prior to detection by the Freya system. These patterns of life provide a foundation for predicting interactions between humans associated with emitters active on the Internet of Things (IoT). This capability provides enhanced security capabilities as required by authorities for sensitive venues and events.

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Apex, NC, United States of America

Ed Recavarren