Physical Location Verification via Image and Sensor Fusion
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Solution Overview
Problem
Existing location verification systems are vulnerable to spoofed physical locations, as users may provide false location information due to security, privacy, or malicious reasons, which can compromise transaction authenticity and security in online and mobile transactions.
Innovation Solution
A physical location verification system that determines reference features at asserted locations, sends verification requests to users, and analyzes imaging data from user devices moved according to instructions, using a trust level-based approach to balance security and user experience, thereby detecting and preventing location spoofing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users provide location information freely, then user experience and transaction convenience are improved, but location spoofing and security risks increase
Solution Approach 1:
The system performs preliminary location verification by capturing images and sensor data before the transaction is finalized. The user device captures images of the physical location and movement data before completing the check-in, ensuring location authenticity is established in advance rather than relying on user-provided location data alone.
Solution Approach 2:
The system provides feedback to users about their location verification status and guides them through the verification process. The service provider device receives image data and sensor data, analyzes whether the user is at the asserted location, and provides appropriate responses or requests additional verification, creating a closed-loop feedback system that balances security and user experience.
2Reliability
If location verification is performed, then location spoofing is detected and security is improved, but system complexity and verification time increase
Solution Approach 1:
The system uses a multi-functional approach by combining multiple verification methods (image analysis, sensor data analysis, movement pattern detection) into a single unified verification framework. The service provider device can perform different types of verification depending on the situation, making the system adaptable and efficient rather than requiring separate systems for each verification type.
Solution Approach 2:
The system changes verification parameters dynamically based on trust levels and risk assessments. The service provider device determines whether to perform full verification or simplified verification based on user history, device reliability, and transaction risk, adjusting the verification stringency to balance security requirements with system efficiency.
3Measurement precision
If strict location verification is applied, then location authenticity is ensured, but user convenience and experience deteriorate
Solution Approach 1:
The system applies partial verification in appropriate cases rather than always performing full verification. For low-risk transactions or users with established trust histories, the system may perform simplified verification using only sensor data or location data, while reserving full image-based verification for higher-risk scenarios, thus reducing unnecessary verification time.
Solution Approach 2:
The system performs preliminary assessments of user trust levels and transaction risk before initiating verification. By pre-evaluating factors such as user history, device reliability, and transaction context, the system can determine the appropriate verification level in advance, avoiding unnecessary verification steps and reducing overall verification time while maintaining security.
Data Source
AI summary
Systems and methods for a physical location verification system include receiving, from a first user device, a first physical location associated with the first user device. A first feature physically located at the first physical location is determined. A first physical location verification request associated with displaying a first reference image including a first marker associated with the first feature on the first user device. Movement data associated with a first movement of the first user device is received from a sensor system of the first user device. First image data captured by a first camera of the first user device during the first movement in response to the physical location verification request is received from the first user device. The first image data and the first movement data are analyzed to verify that the first user device is physically located at the first physical location.