Synthetic Fingerprint Metadata for Secure Electronic Notarization

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Solution Overview

Problem

Current electronic notarization mechanisms face challenges in ensuring data privacy and security, discouraging users due to concerns about data breaches and privacy infringement.

Innovation Solution

The use of synthetic fingerprint metadata generated by generative artificial intelligence is integrated into an apparatus to create smart contracts on a blockchain, ensuring secure data transmission and compliance with location-specific protocols, while embedding synthetic fingerprint information with digital documents and automatically tagging smart contracts for decentralized finance systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If real fingerprint data is used in electronic notarization, then authentication accuracy is improved, but data privacy and security risks increase

Engineering Contradiction:

Improveauthentication accuracyVSAvoiddata privacy breach

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent creates synthetic fingerprint metadata that copies the essential authentication properties of real fingerprints without using actual biometric data. The generative AI algorithm produces artificial fingerprint representations that maintain authentication accuracy while eliminating privacy risks associated with real biometric data storage and transmission.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent transforms real fingerprint data into synthetic metadata by changing the fundamental nature of the data parameter. Instead of storing and transmitting actual biometric images, the system generates synthetic representations that preserve authentication functionality while altering the data form to eliminate privacy vulnerabilities.

Inventive Principle:

Principle #35Parameter changes

2Object-affected harmful factors

If synthetic fingerprint metadata is used, then data privacy is improved, but authentication reliability may worsen

Engineering Contradiction:

Improvedata privacyVSAvoidauthentication reliability

Core Design Contradiction:

Object-affected harmful factorsVSReliability

Solution Approach 1:

The patent replaces traditional biometric authentication mechanisms with a synthetic metadata-based system. Instead of relying on physical fingerprint matching, the system uses AI-generated synthetic representations combined with blockchain verification, substituting the mechanical biometric comparison process with a cryptographic validation approach that maintains reliability while enhancing privacy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces synthetic fingerprint metadata as an intermediary between the user and the authentication system. This intermediary layer preserves the essential authentication function while preventing direct exposure of real biometric data, thereby maintaining reliability through the synthetic representation's cryptographic properties.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If smart contracts are generated with synthetic fingerprint metadata, then security is improved, but system complexity increases

Engineering Contradiction:

Improvedata securityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple functions into the smart contract system: synthetic fingerprint generation, metadata embedding, blockchain verification, and protocol compliance checking are integrated into a unified automated process. This consolidation manages complexity by combining separate security and authentication functions into a single cohesive smart contract execution flow.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system employs self-service mechanisms where the smart contract automatically generates synthetic fingerprint metadata, embeds it in the document, verifies compliance with location-specific protocols, and executes authentication without requiring manual intervention. This automation manages complexity by eliminating the need for separate manual verification steps.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20240029034A1Generating Smart Contracts for Electronic Notarization Using Synthetically Generated Invisible Fingerprint Metadata

Publication Date: 2024.01.25 BANK OF AMERICA CORP

AI summary

Aspects of the disclosure relate to generating smart contracts for electronic notarization using synthetically generated invisible fingerprint metadata. An apparatus may receive synthetic fingerprint information. In addition, the synthetic fingerprint information may be generated based on one or more physical fingerprint images of a user and using a generative artificial intelligence algorithm. The apparatus may receive one or more digital documents associated with an electronic notarization. The apparatus may receive rule information corresponding to location specific protocols associated with the electronic notarization. The apparatus may generate a smart contract on a blockchain based on the synthetic fingerprint information, the one or more digital documents, and the rule information.