Biometric Verification with Location Feasibility Analysis
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Solution Overview
Problem
Biometric identity verification methods in mobile devices are vulnerable to falsification, as they can be duped by lifted fingerprints or high-resolution images, and lack effective secondary verification mechanisms to ensure genuine user access.
Innovation Solution
Implementing a system that monitors biometric identification events across multiple devices, utilizing location information to determine the feasibility of user travel between locations, and employing a second level of identity verification based on location data, usage patterns, and travel nexus analysis to enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric sensors are used for identity verification, then verification accuracy is improved, but vulnerability to falsification increases
Solution Approach 1:
The patent introduces location information and travel feasibility analysis as intermediary verification layers between the biometric sensor and the final authentication decision. The system acts as a mediator that cross-checks biometric data against geographic and temporal constraints, preventing direct acceptance of potentially falsified biometric inputs.
Solution Approach 2:
The patent adds spatial and temporal dimensions to the verification process by incorporating location data and travel time analysis. Instead of relying solely on biometric matching, the system evaluates authentication requests across multiple dimensions (biometric, geographic, temporal), making falsification significantly more difficult.
2Reliability
If location-based verification is added, then security against falsification is improved, but system complexity increases
Solution Approach 1:
The patent makes the processor perform multiple functions: it processes biometric data, retrieves location information, calculates travel feasibility, and makes authentication decisions. By consolidating these functions into a single processing unit, the system achieves enhanced security without proportionally increasing overall system complexity.
Solution Approach 2:
The system uses the device's own location capabilities and existing biometric data to perform verification, rather than requiring external verification systems. The processor leverages already-collected location information and biometric templates stored in the device, eliminating the need for additional external hardware or services.
3Reliability
If multiple verification levels are implemented, then authentication reliability is improved, but processing time increases
Solution Approach 1:
The system pre-calculates and stores travel feasibility information and location data before authentication is needed. When a biometric verification request occurs, the system quickly compares the request against pre-computed travel feasibility data, significantly reducing the time required for multi-level verification.
Solution Approach 2:
The patent dynamically adjusts verification parameters such as the strictness of travel time thresholds and location matching criteria based on the situation. This allows the system to maintain high reliability while minimizing processing time by being more lenient when appropriate and more strict when necessary.
Data Source
AI summary
A method includes receiving an incoming biometric identification request on a first device from a user. First location data for the first device is determined. Second location data associated with at least one previous biometric identification request associated with the user is retrieved. A second level identification request is selectively initiated on the first device based on at least the first and second location data. A device includes a location module to determine first location data for the device, a biometric sensor to generate an incoming biometric identification request from a user, and a processor to retrieve second location data associated with at least one previous biometric identification request associated with the user and selectively initiate a second level identification request on the device based on at least the first and second location data.