Biometric Hash Credential Recovery via Noise-Resistant Transformation

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Solution Overview

Problem

Conventional systems for secure data retrieval face challenges in accessing credentials due to the loss of master credentials or devices, especially when biometric data is not stored in a hashed format, leading to irreparable harm in financial, physical, and reputational aspects, especially with the rise of IoT devices.

Innovation Solution

A method for generating a hash of a biometric measurement using a noise-resistant feature transformation and hashing module, allowing secure data recovery without storing raw biometric data, using error correcting codes and hashing algorithms to ensure secure access to credentials across different devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If biometric data is stored in clear or unsecured format for easy access, then ease of operation is improved, but security is worsened

Engineering Contradiction:
Improveease of credential accessVSAvoidsecurity of biometric data
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent transforms biometric data from clear text to hashed format, changing the parameter of data representation. This allows the system to maintain security while enabling authentication through hash comparison rather than storing raw biometric data

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces hash functions as an intermediary between biometric data and credential access. Instead of directly storing or comparing raw biometric data, the system uses hashed representations as a mediator, achieving both security and functionality

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If credentials are stored on a single device with master credential protection, then security is improved, but adaptability is worsened

Engineering Contradiction:
Improvesecurity of stored credentialsVSAvoidaccess from multiple devices
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent extracts the binding between credentials and specific devices by using biometric hashes as the foundation. Credentials can be stored on multiple devices without requiring the master credential or original device, separating the authentication mechanism from device-specific constraints

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates a universal authentication system where biometric hashes serve as a device-agnostic credential. The same biometric hash can authenticate across multiple devices and platforms, making the system universally accessible without compromising security

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If complex recovery processes are implemented for lost credentials, then security is improved, but ease of operation is worsened

Engineering Contradiction:
Improveprotection against credential lossVSAvoidcomplexity of credential retrieval
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent performs preliminary hashing of biometric data during enrollment, creating a reusable authentication key. This preliminary action eliminates the need for complex recovery processes later, as the hashed biometric data can be directly used for authentication on any device

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20240045996A1Systems and Methods for Biometrics-based Secure Data Encryption and Data Signature
Publication Date: 2024.02.08 DAPPLE SECURITY INC
  • US20240045996A1 patent drawing
  • US20240045996A1 patent drawing
  • US20240045996A1 patent drawing

AI summary

A method for multi-factor, biometrics-based, secure data signature includes generating, by a biometrics reader device, a first biometric measurement using a physical characteristic of a user. The method includes selecting, by at least one noise-resistant feature transformation and hashing module executing on a processor of a computing device, a code word in a set of code words, wherein selecting further comprises applying an error correcting code to the first biometric measurement. The method includes generating, by the at least one noise-resistant feature transformation and hashing module, a first hash, wherein generating further comprises executing a hashing algorithm and using the selected code word as input to the hashing algorithm. The method includes generating, by the at least one noise-resistant feature transformation and hashing module, a public key and a private key, using the first hash. The method includes electronically signing, with the private key, data associated with the user.