Biometric Security Chip Physical Isolation
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Solution Overview
Problem
Current biometric recognition systems lack strong security due to the vulnerability of biometric templates during transmission, storage, and calculation, as they rely on logical division of security zones, making them susceptible to theft and forgery, leading to permanent and extensive damage once the original information is revealed.
Innovation Solution
A device and method for biometric recognition that incorporates a security chip to store and process biometric feature templates, performing image preprocessing and feature extraction, and providing digital signatures, which is physically isolated from the system environment, ensuring secure storage and transmission of biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric templates are stored in traditional systems with logical security zones, then the system is easier to implement and operate, but the security level is insufficient and templates are vulnerable to theft and forgery
Solution Approach 1:
The system is segmented into two distinct parts: a traditional host system for general operations and a separate security chip for biometric template storage and verification. This segmentation isolates the critical security functions from the main system, preventing unauthorized access while maintaining overall system functionality. The security chip operates independently with its own processor and memory, creating a secure enclave for biometric data.
Solution Approach 2:
The security chip acts as an intermediary between the sensor and the host system. It receives biometric data from the sensor, processes it locally, and only communicates verification results to the host system. This intermediary role prevents direct exposure of biometric templates to the host system, blocking potential theft vectors while enabling seamless user authentication.
2Measurement precision
If biometric templates contain original biometric information, then recognition accuracy is improved, but the damage from template theft becomes permanent and extensive
Solution Approach 1:
The system extracts only the essential verification functionality from the full biometric template. The security chip stores processed biometric features rather than complete original templates, and performs feature extraction locally. This extraction approach maintains recognition accuracy by preserving key biometric characteristics while removing redundant information that could aid forgery attempts.
Solution Approach 2:
The system performs preliminary processing of biometric data within the security chip before any potential exposure to external systems. By pre-processing and verifying biometric features in a secure environment, the system neutralizes potential threats in advance. The security chip validates authentication requests locally, preventing unauthorized access before it can reach the host system, thereby countering potential theft and forgery attempts proactively.
Data Source
AI summary
A device for biometric recognition, a method for biometric recognition, and a biometric template registration method are disclosed. The device comprises: a sensor for sensing information of a biometric feature; and a security chip for storing a template of the biometric feature, obtaining the information, performing image preprocessing and feature extraction on the obtained information, and comparing features with the stored template to determine a biometric recognition result. Since the whole biometric recognition process is executed in an independent security chip, the security is greatly improved compared with traditional logic isolation solutions.


