Biometric Authentication Environmental Verification
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Solution Overview
Problem
Biometric authentication systems face challenges in distinguishing between authentication failures caused by illegal users and environmental issues, leading to unnecessary service rejection for legitimate users due to account lock mechanisms.
Innovation Solution
Incorporating environmental information acquisition and verification within the biometric authentication process, where the client device measures and transmits environmental factors like luminance and humidity, and the server determines whether to allow retries based on both biometric and environmental verification results, providing improvement messages to adjust environmental conditions for successful authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the account lock method is used to reject authentication requests based on retry count, then security against illegal accesses is improved, but legitimate users experience unnecessary service rejection due to environmental problems
Solution Approach 1:
The authentication failure analysis is segmented into two distinct components: illegal access detection and environmental problem detection. The server separately evaluates each aspect by analyzing different characteristics of the authentication requests and environmental data, allowing independent determination of the failure cause without conflating the two scenarios
Solution Approach 2:
Environmental information acts as an intermediary element that mediates between the authentication request and the account lock decision. By introducing environmental data (luminance, humidity, temperature) as a intermediate factor, the system can distinguish whether authentication failures stem from environmental issues rather than illegal access attempts, preventing unnecessary account locks
2Ease of operation
If environmental information verification is added to distinguish failure causes, then service availability for legitimate users is improved, but system complexity increases
Solution Approach 1:
The server performs multiple functions using a unified authentication framework: it simultaneously verifies authentication credentials, analyzes environmental information, determines failure causes, and manages account lock decisions. This multi-functional approach avoids the need for separate dedicated systems for each function, managing complexity through integration rather than proliferation of components
Solution Approach 2:
The system monitors environmental parameters (luminance, humidity, temperature) and uses changes in these parameters as indicators of environmental problems affecting authentication. By tracking parameter variations and comparing them against thresholds, the system can identify environmental causes without requiring complex diagnostic mechanisms
3Measurement precision
If the system monitors environmental information for each authentication attempt, then accuracy in distinguishing failure causes is improved, but processing time and computational resources increase
Solution Approach 1:
Environmental information is acquired and prepared in advance of the authentication decision process. The server collects environmental data proactively before analyzing authentication failures, so that when an authentication attempt fails, the environmental context is already available for immediate comparison and determination, eliminating the need for time-consuming environmental measurements during the authentication critical path
Data Source
AI summary
A client apparatus transmits environmental information acquired from an environmental information acquisition device as well as a biometric authentication information matching result to a server apparatus. The server apparatus verifies the validity of the environmental information such as a luminance as well as the validity of the biometric authentication information matching result. If an environment is problematic, the server apparatus notifies the client apparatus that the environmental information is problematic. The client apparatus overcomes the problem of the environment such as the luminance based on the notification from the server apparatus and then retries a biometric authentication. The possibility of re-failure due to the environmental problem can be reduced during a retry of the biometric authentication.