Stolen Mobile Account Protection Using Geofence Locking
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Solution Overview
Problem
Current procedures for handling stolen or lost mobile devices are inefficient in protecting account information, consuming computing and networking resources, and fail to provide adequate security, leading to poor user experience and involvement of law enforcement.
Innovation Solution
A system that includes a secondary device, such as an IoT device, to detect theft or loss of a mobile device, and remotely locks or disables the device, blocks SMS features, and manages geolocation zones to prevent unauthorized access to financial applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current procedures are used to handle stolen mobile devices, then law enforcement involvement and resource consumption occur, but security protection and user experience deteriorate
Solution Approach 1:
The system performs preliminary actions by establishing geofence boundaries and monitoring mechanisms before theft occurs. When the mobile device crosses the geofence boundary, the system immediately triggers security measures including blocking IMEI and sending alerts, preventing unauthorized access before significant damage can occur. This proactive approach eliminates the need for post-theft law enforcement intervention and reduces computing resources wasted on handling stolen devices.
2Reliability
If remote locking and disabling features are implemented, then unauthorized access is prevented, but device functionality and user convenience are reduced
Solution Approach 1:
The system applies different security measures based on location rather than uniformly disabling all functions. When the device enters a geofenced area, only specific functions are blocked (IMEI blocking, SMS alerts) while other functions remain operational. This localized security approach prevents unauthorized access in high-risk areas while maintaining device functionality elsewhere, resolving the contradiction between security and convenience.
3Measurement precision
If geolocation monitoring and proximity checks are performed, then device separation is detected, but computing resources are consumed
Solution Approach 1:
The system performs geolocation monitoring and proximity checks periodically rather than continuously. The server checks proximity at defined intervals by comparing current geolocation data with stored boundary coordinates. This periodic approach maintains accurate separation detection while significantly reducing computing resource consumption compared to continuous monitoring, directly resolving the technical contradiction.
Data Source
AI summary
A device of network may provide, to a secondary device, an identifier of a user equipment and a code for messaging, and may receive, from the secondary device and based on the code, target data identifying a target application to notify when the user equipment is stolen. The device may receive an indication of theft of the user equipment, and may block access of the identifier of the user equipment to the target application based on the indication.