Biometric Liveness Verification Using Non-Identifying Personal Data
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Solution Overview
Problem
Biometric authentication systems are vulnerable to spoofing attacks using forged biometric data, necessitating a liveness verification method to ensure the authenticity of the biometric information provider is a living entity.
Innovation Solution
A liveness verification method that utilizes pre-stored non-identifying personal data such as clothing type, hairstyle, and accessories to verify the authenticity of biometric information, combined with induced changes in biometric data through visual, auditory, or tactile content when necessary, and a server system to perform this verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biometric authentication is used, then authentication speed is fast, but security is vulnerable to spoofing attacks
Solution Approach 1:
The system performs liveness verification before completing the authentication process. Pre-stored non-identifying personal data (such as clothing type, hairstyle, accessories) is prepared in advance and used to verify that the biometric data comes from a living person, preventing spoofing attacks while maintaining a structured verification flow
Solution Approach 2:
The authentication process is divided into separate stages: first verifying liveness using non-identifying personal data, then proceeding to full authentication. This segmentation allows the system to address security concerns at a specific stage without complicating the entire authentication system
2Reliability
If liveness verification using pre-stored non-identifying personal data is performed, then spoofing prevention is improved, but verification time increases
Solution Approach 1:
The system uses only non-identifying personal data (clothing type, hairstyle, accessories) for liveness verification, which is a partial subset of all available biometric information. This partial verification is sufficient to detect spoofing attempts while avoiding the need to process complete biometric datasets, thus reducing verification time
Solution Approach 2:
Non-identifying personal data is extracted and stored in advance during previous interactions. During authentication, this pre-prepared data is quickly compared against current biometric information, enabling fast liveness verification without real-time complex processing
3Measurement precision
If non-identifying personal data is extracted and compared, then verification precision is improved, but data processing complexity increases
Solution Approach 1:
The system extracts only specific non-identifying attributes (clothing type, hairstyle, accessories) from the biometric data, separating these from sensitive personal information. This extraction focuses processing on specific visual features that indicate liveness while maintaining privacy and reducing overall data processing complexity
Solution Approach 2:
Different types of non-identifying personal data are weighted differently in the verification process. The system applies local quality assessment by focusing on specific visual regions and features (such as hairline, accessory positions, clothing details) that are most indicative of liveness, rather than uniformly processing all biometric data
Data Source
AI summary
Provided are a liveness verification method, the method comprises collecting identification information of a verification target, determining whether there is pre-stored non-identifying personal data corresponding to the collected identification information of the verification target, and performing liveness verification on biometric information collected from the verification target using different types of data according to whether there is the pre-stored non-identifying personal data.