Location Comparison Engine for Wireless Device Proximity Verification
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Solution Overview
Problem
Current fraud detection and authentication systems in wireless transactions often rely on detection methods that fail to prevent fraudulent activities initially and can produce false positive indications, lacking the ability to provide real-time proximity information between wireless device locations for secure transaction verification.
Innovation Solution
A Location Comparison Engine that compares the location of a wireless device with the location of its user engaging in a transaction, using a unique identifier to associate and determine proximity, thereby enhancing authentication and reducing false positives by ensuring the device is present at the transaction location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated location comparison is implemented to verify device presence at transaction location, then fraud detection capability is improved, but system complexity increases
Solution Approach 1:
A location comparison engine is introduced as an intermediary component that receives location data from multiple sources (wireless device, transaction system, GPS, cellular network), standardizes the data formats, and performs automated comparison. This mediator handles the complexity of integrating different location determination systems, allowing the fraud detection system to benefit from comprehensive location verification without each component needing to understand the complexities of the others.
2Reliability
If real-time location tracking and comparison is performed for every transaction, then transaction security is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-establishes location determination capabilities by integrating with existing GPS receivers, cellular network location systems, and transaction logging infrastructure before transactions occur. Location data is continuously or periodically captured and stored in advance, so when a transaction occurs, the comparison can be performed rapidly using pre-captured location information rather than determining location from scratch at the moment of transaction.
3Measurement precision
If multiple location determination methods are integrated into a unified comparison system, then measurement precision of device location is improved, but device complexity increases
Solution Approach 1:
The location verification system is segmented into independent functional modules: GPS location determination module, cellular network location determination module, transaction location capture module, and location comparison engine. Each module performs a specific function and interfaces with standardized data formats. This segmentation allows the system to integrate multiple location determination methods while managing complexity through clear module boundaries and standardized interfaces.
Data Source
AI summary
A system and method for automatically comparing obtained wireless device location information from a wireless network and comparing that location with another independent source geographic location is provided. Location information is derived from two or more sources in a multiplicity of ways and a comparison is made within a Location Comparison Engine. The Location Comparison Engine makes use of databases that assist in resolving obtained raw positioning information and converting that positioning information into one or more formats for adequate location comparison. Results of location comparison are deduced to determine if the wireless device is in some proximity to some other activity source location. Other location information used for comparison may be obtained from a multiplicity of sources, such as another network based on some activity of wireless device user, another wireless device via a wireless network, or any system capable of providing location information to the Location Comparison Engine.