Decentralized Identity Management System for Secure Data Portability

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Solution Overview

Problem

Current onboarding and client lifecycle management systems face challenges with data portability, interoperability, and security due to centralized data storage, leading to increased risks of data breaches and limited user control over personal information.

Innovation Solution

A portable, reusable, and interoperable identity, document, and transaction management system utilizing machine learning, deep learning, biometrics, optical character recognition, and non-fungible smart contracts for decentralized data storage, enabling secure and efficient onboarding and client lifecycle management across various entities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If centralized data storage is used for identity and transaction information, then data management and access control are simplified, but security risks increase and user control over personal information is reduced

Engineering Contradiction:

Improvedata managementVSAvoidsecurity

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent segments centralized data storage into distributed decentralized storage across multiple nodes. Identity and transaction data are fragmented and stored across a decentralized network rather than in a single centralized repository, reducing the risk of complete data compromise while maintaining manageability through distributed consensus mechanisms.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces smart contracts as intermediary automated protocols that mediate access control and data management operations. These self-executing contracts enforce security rules and user permissions without requiring centralized administrative intervention, thereby improving both security and user control while maintaining operational simplicity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If centralized systems are used for identity verification, then verification processes are streamlined, but data portability and interoperability are limited

Engineering Contradiction:

Improveverification efficiencyVSAvoiddata portability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal decentralized identity framework that can be used across multiple organizations and platforms. The standardized data structures and interoperable protocols enable the same identity verification system to serve multiple functions and multiple entities, improving both verification efficiency and data portability simultaneously.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent implements dynamic decentralized identity records that can be selectively shared and updated across different contexts. Users can dynamically control which aspects of their identity are shared with which entities, enabling efficient verification while maintaining flexibility and portability across different platforms and use cases.

Inventive Principle:

Principle #15Dynamics

3Ease of manufacture

If sensitive information is collected and stored at each organization, then local processing capabilities are improved, but the risk of data breaches increases

Engineering Contradiction:

Improvelocal processingVSAvoiddata breach risk

Core Design Contradiction:

Ease of manufactureVSObject-affected harmful factors

Solution Approach 1:

The patent segments sensitive information storage across a decentralized network of nodes rather than concentrating it at single organizations. Each node stores only the necessary portion of data required for its specific function, enabling local processing capabilities while distributing breach risk across multiple independent entities rather than concentrating it at single points of failure.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20230316261A1Systems and Methods for Portable Identity, Documents, and Transactions

Publication Date: 2023.10.05 AGBAMU AKPOREFE

AI summary

A portable identity, document, transaction, data, and access management system for interoperable and reusable onboarding and client lifecycle management, includes an identity management system employing at least machine or deep learning for streamlining functionality comprising biometrics analysis, optical character recognition for analyzing documents, leveraging identification systems and databases for training and verifying, and a document management system facilitating at least electronic file transfer, digital and biometric signatures, enabling at least the editing, sending, receiving, sharing, transferring, storing, tracking of documents, and a transaction management system utilizing at least machine or deep learning for activities comprising detecting known and unknown typologies, mitigating false positives, enabling at least the executing, clearing, settlement, monitoring, screening, recording, and reporting of transactions.