Dynamic Biometric Authentication with Random Code Verification
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Solution Overview
Problem
Current authentication methods, such as face and voice recognition, are vulnerable to unauthorized access due to the use of pre-recorded data, where lowering the facial feature matching threshold increases the risk of false verification and raising it increases the failure rate for authorized users, and voice recognition is susceptible to SIM card exchange attacks.
Innovation Solution
A method and apparatus that provide a random verification code to users, which they must read aloud and match with dynamic facial pictures and audio data, preventing unauthorized access by distinguishing between live and pre-recorded data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the threshold for matching facial features is lowered to improve the pass rate of authorized persons, then the authentication acceptance rate increases, but the risk of verification by unauthorized persons also increases
Solution Approach 1:
The patent applies dynamics by transitioning from a static facial recognition system to a dynamic one that requires real-time interaction. The system captures multiple facial images during the authentication process and analyzes temporal changes, making it impossible to use pre-recorded photos. This dynamic approach maintains high acceptance for authorized users while rejecting unauthorized attempts.
Solution Approach 2:
The patent implements periodic action by requiring the user to perform repeated facial expressions or movements during authentication. The system captures a sequence of facial images at different time points, verifying that the changes between them are consistent with natural human physiology. This periodic verification process prevents use of static pre-recorded data while maintaining user convenience.
2Object-affected harmful factors
If the threshold for matching facial features is increased to reduce the pass rate of unauthorized persons, then the security improves, but the failure rate of face recognition for authorized persons also increases
Solution Approach 1:
By requiring dynamic facial movements and capturing multiple images over time, the system creates a more robust verification process. This dynamic approach provides more data points for comparison, enabling the system to maintain high security thresholds while still achieving high acceptance rates for authorized users through accumulated evidence from multiple frames.
Solution Approach 2:
The system incorporates feedback by analyzing the temporal consistency of facial changes across multiple captured images. It compares the sequence of facial expressions against expected physiological patterns, providing continuous verification feedback. This allows the system to maintain strict security criteria while accommodating natural variations in authorized users' appearances.
3Ease of operation
If voice recognition is used for authentication, then the convenience of users improves, but the system becomes vulnerable to SIM card exchange attacks and pre-recorded audio
Solution Approach 1:
The patent applies dynamics to voice authentication by requiring real-time speech rather than accepting pre-recorded audio. The system analyzes temporal characteristics of speech, including pitch variation, speech rate, and articulation patterns that change naturally over time. This dynamic verification maintains user convenience while preventing use of recorded audio attacks.
Solution Approach 2:
The patent merges facial recognition and voice recognition into a unified authentication system. By combining these two biometric modalities, the system achieves both convenience (through voice input) and security (through multi-factor verification). The combination of dynamic facial movements and real-time speech analysis creates a robust authentication process resistant to both photo and audio attacks.
Data Source
AI summary
The present invention provides methods, apparatuses, storage mediums and terminal devices for product authentication. The methods comprises: receiving an authentication request of the user; the authentication request includes a user account; responding to the verification request, and providing a random verification code to the user; wherein the random verification code is used to prompt the user to make a sound and read out the verification code; obtaining a dynamic facial picture and audio data when the user reads the random verification code; and verifying whether the identity of the user matches the identity of the user account, according to the dynamic facial picture, the audio data, and the random verification code. With the present invention, the security of authentication can be improved.