Biometric File Locking via Segmented Authentication
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Solution Overview
Problem
Conventional methods for locking mobile devices lack effective solutions for protecting user privacy by securely locking specific files, as they often rely on less reliable methods such as numeric or gesture passwords.
Innovation Solution
A method and device that utilize biological feature recognition information, including fingerprint, voiceprint, iris, or face information, to lock designated files, ensuring secure access and privacy protection by using unique physiological characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional locking methods (numeric password, gesture password) are used, then the device is easy to operate, but the security and privacy protection is insufficient
Solution Approach 1:
The patent replaces conventional mechanical/password-based locking systems with biological feature recognition systems. Specifically, it uses fingerprint recognition, voiceprint recognition, iris recognition, or face recognition to authenticate users and lock/unlock files, substituting the mechanical password entry system with biometric verification systems that provide higher security while maintaining ease of use.
2Reliability
If fingerprint recognition is used for mobile terminal locking, then security is improved, but it cannot lock specific files individually
Solution Approach 1:
The patent segments the locking mechanism from the device level to the file level. Instead of locking the entire mobile terminal with fingerprint recognition, it enables individual file locking where each file can be independently protected by biological features. This allows different files to have different security states, with some files locked by biometric authentication while others remain accessible, providing fine-grained security control.
3Ease of operation
If numeric password is used, then ease of operation is maintained, but privacy protection reliability is insufficient
Solution Approach 1:
The patent changes the authentication parameter from conventional passwords (numeric or gesture-based) to biological parameters (fingerprint patterns, voiceprint characteristics, iris structures, or facial features). This parameter change fundamentally improves privacy protection reliability because biological features are unique to each individual and much harder to replicate or guess compared to conventional passwords, while still maintaining ease of operation through automatic biometric capture.
Data Source
AI summary
A method for locking a file includes: acquiring biological feature recognition information of a user, the biological feature recognition information including at least one of fingerprint information, voiceprint information, iris information, or face information; and locking a designated file using the biological feature recognition information.