Biometric Verification System for Communication Account Authentication
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Solution Overview
Problem
The increasing number of users in computer technologies leads to high verification costs and low efficiency and accuracy in verifying communication accounts, particularly due to the need for frequent generation of SMS verification codes.
Innovation Solution
The method involves biometric feature verification using first biometric feature data inputted by the user, obtaining pre-stored benchmark biometric feature data, and sending check information and a target token to a serving end to determine the verification result, thereby improving verification efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If SMS verification codes are generated for each communication verification request, then verification can be performed, but verification costs increase and verification efficiency decreases
Solution Approach 1:
The system performs preliminary actions by pre-generating and storing verification codes along with their corresponding validation data before verification requests are made. When a verification request arrives, the system checks against pre-computed data rather than generating new codes, significantly improving verification efficiency while maintaining accuracy.
2Reliability
If SMS verification codes are generated for each communication verification request, then verification can be performed, but verification costs increase
Solution Approach 1:
The system creates and stores copies of verification data in advance. Instead of generating new SMS verification codes for each request, the system uses pre-stored verification data that can be repeatedly validated, reducing the cost of frequent SMS code generation while maintaining verification accuracy through cryptographic validation.
3Productivity
If biometric feature verification is performed using pre-stored benchmark data, then verification efficiency improves, but system complexity increases
Solution Approach 1:
The system changes the parameter of verification from real-time biometric analysis to comparison with pre-stored benchmark data. This parameter change simplifies the verification process by using predetermined reference data, improving efficiency while managing system complexity through structured data storage and comparison protocols.
Data Source
AI summary
Implementations of the present specification disclose an information verification method, apparatus, and device. The method includes: receiving a communication verification request of a user; obtaining first biometric feature data inputted by the user, and performing biometric feature verification on the user based on the first biometric feature data; obtaining pre-stored benchmark biometric feature data of the user if the biometric feature verification on the user succeeds, and sending first check information corresponding to the benchmark biometric feature data and a target token corresponding to a pre-stored communication account of the user to a serving end, so that the serving end determines a verification result of the communication account based on the first check information, the target token, and second check information that corresponds to the pre-stored benchmark biometric feature data of the user; and receiving the verification result sent by the serving end, and determining, based on the verification result, whether the communication account of the user is abnormal.