Biometric Registration via Convolution Hashing
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Solution Overview
Problem
Current authentication systems face challenges in securing biometric information, as they often require storing and transmitting actual biometric data, making it vulnerable to theft and interception, and users have limited control over their biometric authentication methods once compromised.
Innovation Solution
A biometric identification device that converts biometric and key files into numeric representations, combines them using a convolution operation to create a superimposed numeric representation, which is then converted into a hash value, reducing the need to store or transmit actual biometric data and providing an additional layer of security by making it difficult to derive the original biometric information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If actual biometric data is stored and transmitted for authentication, then authentication functionality is achieved, but security is compromised due to vulnerability to theft and interception
Solution Approach 1:
The patent extracts only the essential authentication capability from the biometric data by converting it into a hash value, while removing the actual biometric information that would be vulnerable to theft. The system stores and transmits only the hash value rather than the original biometric data, achieving authentication functionality without the security risks of storing sensitive information.
Solution Approach 2:
The patent introduces a hash value as an intermediary between the biometric data and the authentication system. This intermediary element preserves the authentication functionality while eliminating the security vulnerability, as the hash value can be used for verification but cannot be reverse-engineered to reveal the original biometric information.
2Adaptability or versatility
If biometric information is stored in the system, then user identification is enabled, but system memory usage increases and security risks are heightened
Solution Approach 1:
The patent extracts only the essential identification capability from the biometric data by converting it into a compact hash value. This extracted representation maintains user identification capability while dramatically reducing the quantity of data that must be stored in system memory.
3Reliability
If actual biometric data is transmitted over network, then authentication verification is possible, but data exposure risk increases during transmission
Solution Approach 1:
The patent extracts only the verification-essential information from the biometric data by converting it into a hash value for transmission. This extracted representation enables authentication verification while eliminating the data exposure risk associated with transmitting actual biometric information over networks.
Solution Approach 2:
The patent transforms the biometric data from its original form into a hash value representation, changing the parameter form from sensitive biometric information to a non-sensitive cryptographic hash. This parameter change enables verification functionality while protecting against data exposure during transmission.
4Adaptability or versatility
If users can change their biometric information, then adaptability is improved, but security control becomes more difficult
Solution Approach 1:
The patent extracts only the essential authentication property from biometric data through hashing, which simplifies security control. When users need to change their biometric information, the system simply regenerates the hash value without complex security protocols, as the hash function naturally provides both adaptability and security control.
Data Source
AI summary
In an embodiment of the present disclosure, a biometric identification device comprises a conversion engine configured to receive a key file, receive a biometric file, wherein the biometric file is different from the key file and comprises biometric identification information of a user, convert the key file into a first numeric representation, and convert the biometric file into a second numeric representation. The biometric identification device further comprises a hashing engine configured to create a superimposed numeric representation by performing a convolution operation on the first numeric representation and the second numeric representation, convert the superimposed numeric representation into a hash value, and store the hash value.