Heuristic Location Profile Deviation Detection
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Solution Overview
Problem
Existing location tracking technologies on mobile devices often infringe on users' privacy, as they allow observers to continuously monitor users' locations without considering privacy boundaries.
Innovation Solution
A method and system that maintain a location profile based on heuristic information for a target mobile device, comparing current locations to this profile to trigger notifications only when significant deviations occur, thereby respecting user privacy by allowing observers to be informed of unusual behavior without continuous tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous location tracking is implemented, then observers can monitor user location in real-time, but user privacy is infringed upon
Solution Approach 1:
The system performs location tracking only partially - not continuously, but only when deviations from the profile occur. This allows the system to maintain reliable tracking capability while reducing privacy infringement by limiting tracking to necessary moments only.
Solution Approach 2:
The system changes the parameter of tracking frequency from continuous to event-driven. By monitoring whether current location matches the profile and only triggering when there's a significant deviation, the system maintains tracking reliability while minimizing privacy harm.
2Loss of information
If location data is continuously collected and transmitted, then complete tracking information is available, but data exposure and privacy risks increase
Solution Approach 1:
The system extracts only the necessary information - specifically, only location deviations from the profile are transmitted to observers. Normal location data that conforms to the profile is not transmitted, thus reducing data exposure while maintaining tracking information completeness for unusual events.
Solution Approach 2:
Instead of transmitting all location data continuously, the system transmits only partial information - specifically, only when deviations occur. This reduces data exposure risks while ensuring complete tracking information is available for significant events.
3Object-affected harmful factors
If heuristic location profiling is implemented, then privacy is protected by reducing tracking, but detection precision of unusual behavior may decrease
Solution Approach 1:
The system performs preliminary action by building a location profile in advance based on historical data. This profile captures normal behavior patterns, enabling the system to protect privacy through reduced tracking while maintaining detection precision - when current location deviates from the pre-established profile, unusual behavior is accurately detected.
Solution Approach 2:
The system uses feedback by continuously comparing current location against the historical profile and triggering notifications only when significant deviations occur. This feedback mechanism ensures privacy protection through selective tracking while maintaining high detection precision for unusual behaviors that diverge from normal patterns.
Data Source
AI summary
A method and system for provision of a notification based on location of a target device and heuristic information, the method maintaining, in a storage module, a location profile of a target mobile device based on heuristic information for the target mobile device; receiving the current location of the target mobile device; verifying whether the current location deviates from the location profile; and if the current location deviates from the location profile, triggering a notification to an observer device.