Geolocation Authentication System Using Movement Feasibility Corroboration
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Solution Overview
Problem
Existing systems fail to reliably authenticate the geolocation of mobile devices, as users can falsify their reported locations, leading to uncertainty in determining their true positions, which is critical for various applications including law enforcement, emergency response, and service validation.
Innovation Solution
A geolocation authentication system that receives user input for customized authentication settings, accesses datapoints characterizing the correlation between reported and true geolocations using location corroboration factors such as signal detection, signal strength, and movement feasibility, and determines a custom confidence metric to assess the likelihood of the reported location being genuine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile devices report geolocation data for various applications, then the utility and popularity of location-based services increase, but the reliability of the reported location data decreases due to spoofing capabilities
Solution Approach 1:
The system performs preliminary actions by collecting multiple independent location data points (GPS coordinates, cell tower triangulation, Wi-Fi positioning) before making an authenticity determination. This advance gathering of corroboration data allows the system to establish a baseline of expected location information from multiple sources, which is then used to verify the authenticity of reported geolocation data and detect potential spoofing attempts.
2Measurement precision
If multiple independent methods are used to determine geolocation for authentication, then the accuracy of location verification improves, but the system complexity increases
Solution Approach 1:
The system segments the location verification process into distinct independent methods: GPS-based location determination, cell tower triangulation, and Wi-Fi positioning. Each method operates as a separate module that collects and processes location data independently. This segmentation allows the system to evaluate multiple location sources without creating a monolithic complex system, as each segment can be developed, maintained, and optimized separately while contributing to the overall authentication accuracy.
Data Source
AI summary
An illustrative geolocation authentication system designates a movement feasibility corroboration factor as a location corroboration factor for the geolocation authentication system to authenticate geolocations of mobile devices. Based on the designating of the movement feasibility corroboration factor, the geolocation authentication system determines a first reported geolocation of a mobile device associated with a first time and a second reported geolocation of the mobile device associated with a second time. Given that the mobile device is located at a true geolocation at the second time, the geolocation authentication system then determines, based on the first and second reported geolocations of the mobile device, a feasibility metric indicative of a likelihood that the second reported geolocation of the mobile device is the true geolocation at the second time. Corresponding methods and systems are also disclosed.


