Spatially Aware Device Unauthorized Activity Detection
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Solution Overview
Problem
There is a need for effective detection of unauthorized activity in enterprise organizations using spatially aware devices, as these devices are increasingly present in various locations and can potentially be involved in unauthorized activities, requiring efficient methods to identify and mitigate risks.
Innovation Solution
A computing device with a spatially aware chip can detect and track devices within a location, capturing data to determine anomalies and risk scores, which triggers alerts and mitigating actions, such as notifications or system modifications, by comparing current and historical data using machine learning models and blockchain technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If spatially aware devices are deployed to detect unauthorized activity, then security detection capability is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system segments the detection process into multiple independent components: spatially aware chips in devices for local detection, edge computing devices for intermediate processing, and central servers for comprehensive analysis. This segmentation distributes complexity across multiple levels, improving detection reliability without overwhelming a single system component.
Solution Approach 2:
Edge computing devices serve as intermediaries between spatially aware devices and central servers. These intermediaries pre-process spatial data locally, filtering and aggregating information before transmission to central systems, thereby reducing overall system complexity while maintaining detection effectiveness.
2Speed
If continuous monitoring of device locations is performed, then real-time security detection is improved, but energy consumption and data processing load increase
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sampling of device locations and behaviors. Spatially aware devices transmit location data at predetermined intervals or upon detecting significant movement, enabling real-time security detection while significantly reducing energy consumption compared to continuous tracking.
Solution Approach 2:
The system monitors all devices periodically but applies intensive analysis only to devices exhibiting anomalous behaviors or matching risk profiles. This partial action approach maintains detection speed for critical threats while reducing overall energy consumption by avoiding exhaustive analysis of every device at every moment.
3Measurement precision
If comprehensive device data is collected and stored, then anomaly detection accuracy is improved, but data storage requirements and privacy concerns increase
Solution Approach 1:
The system extracts only the essential features and anomalies from comprehensive device data for storage and analysis. Instead of storing complete raw datasets, the system identifies and stores only deviation patterns, behavioral anomalies, and risk indicators, achieving high detection accuracy with reduced storage requirements.
Solution Approach 2:
Different levels of data retention are applied based on device risk profiles and behavior patterns. High-risk devices undergo more intensive monitoring with greater data retention, while low-risk devices receive minimal monitoring. This local quality approach optimizes storage efficiency while maintaining detection accuracy where it matters most.
Data Source
AI summary
Arrangements for detecting unauthorized activity using spatially aware devices are provided. In some aspects, a computing device including a spatially aware chip may be detected at a location. An indication of device detection, as well as additional data may be captured and received. Upon a second detection of the computing device, additional data for that visit (e.g., a second visit, subsequent to a first visit to the location) may be captured and received. Earlier stored data associated with the device and/or spatially aware chip may be retrieved and compared to the additional for the second visit to detect one or more anomalies, determine a risk score for the device, and the like. Based on the detected anomalies and/or risk score, one or more mitigating actions may be identified and executed to mitigate the risk. Further, one or more alerts or notifications may be transmitted to one or more devices.