Wireless Device Movement Detection for Threat Assessment
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Solution Overview
Problem
Existing systems lack effective methods for detecting and monitoring the movement of wireless-enabled devices in a physical space, particularly in emergency situations, where identifying moving devices among stationary ones is crucial for security and response purposes.
Innovation Solution
A system comprising sensors and a processor that utilize wireless communication networks to track and analyze the location and movement of wireless-enabled devices, determining their probability of movement and potential threats by comparing identifier and location data over time intervals, and transmitting this information to administrative devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors continuously scan the physical space to detect wireless-enabled devices, then the reliability of threat detection is improved, but the loss of energy increases
Solution Approach 1:
The system performs scans at periodic time intervals rather than continuously, balancing detection reliability with energy conservation. The processor determines device movement by comparing identifier and location data across multiple time intervals, achieving effective monitoring while reducing overall energy consumption compared to continuous scanning.
2Measurement precision
If the system tracks all wireless-enabled devices to identify moving devices, then the measurement precision of threat identification is improved, but the device complexity increases
Solution Approach 1:
The system extracts only the essential characteristics needed for threat identification: device identifiers and location data. By focusing on these key parameters and comparing them across time intervals, the system achieves precise threat detection without the complexity of tracking all device attributes or using overly complex analysis methods.
3Productivity
If the system monitors device locations at frequent time intervals, then the productivity of threat response is improved, but the loss of time for data processing increases
Solution Approach 1:
The system extracts and processes only the critical data elements: device identifiers and location coordinates. By comparing these essential parameters across time intervals rather than analyzing complete device profiles, the system achieves rapid threat response while minimizing data processing time.
Data Source
AI summary
Wireless-enabled devices are becoming more ubiquitous in society. Detection and analysis of movement of these devices in a known physical space can aid in detecting cyber threats present in the physical space, as well as physical threats to life in the space. Embodiments of the present disclosure are directed to solutions for detecting, monitoring, and analyzing wireless-enabled device movement and utilizing this information to determine a probable threat in a physical space.