Quantum Biometric Encoding for Anonymous Secure Access
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Solution Overview
Problem
Existing methods for secure identification and access control in restricted locations or systems lack robust security against unauthorized access and privacy protection, particularly when using biometric data, which can be vulnerable to reverse-engineering and adversarial attacks.
Innovation Solution
A method utilizing a continuous one-way function constructed through a bin packing optimization problem solved on a quantum information processing system, combined with quantum data fitting, to encode biometric data, ensuring secure anonymized access by mapping similar biometric data to close points in a high-dimensional feature space, and storing hashed data to prevent direct storage of sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric data is stored directly in a database for identification, then access control can be implemented, but security is compromised because the biometric data becomes vulnerable to reverse-engineering and unauthorized access
Solution Approach 1:
The patent introduces an intermediary encoding function that transforms biometric data into encoded representations before storage. This intermediary layer prevents direct exposure of sensitive biometric information while maintaining identifiability through the encoded forms, thereby resolving the contradiction between security and information accessibility
Solution Approach 2:
The system creates a copy of the biometric data in an encoded format for storage and verification purposes, rather than storing the original biometric data. This copy maintains the functional equivalence for identification while eliminating the security risks associated with storing raw biometric information
2Reliability
If biometric data is encoded using a one-way function to prevent reverse-engineering, then security is improved, but the complexity of the system increases due to the encoding and decoding processes
Solution Approach 1:
The patent replaces complex cryptographic encoding mechanisms with a quantum-based encoding approach that leverages quantum mechanical properties. This substitution simplifies the overall system by using fundamental physical principles rather than complex computational algorithms, thereby reducing system complexity while maintaining security
3Productivity
If quantum algorithms are used to solve optimization problems for encoding biometric data, then encoding efficiency is improved, but the computational resources and energy consumption increase
Solution Approach 1:
The system changes the fundamental parameters of computation by transitioning from classical binary logic to quantum mechanical states. This parameter change enables exponential speedups in certain computational tasks while the energy consumption is managed through quantum algorithms that leverage quantum parallelism and interference effects
Data Source
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AI summary
Disclosed is a method for granting or denying secure anonymized access to a restricted location, database and/or computer system to an individual, the method comprising: constructing a one-way function for encoding biometric data, the one-way function being in particular constructed using quantum data fitting on the basis of supporting points, wherein the supporting points are obtained by solving an optimization problem, in particular a bin packing optimization problem; adding of entries to a database, the entries comprising hashes of encoded biometric data and PINs; processing an access request from the individual; and based on the result of the processing, granting or denying secure anonymized access to the restricted location, database and/or computer system to the individual.