Decentralized Identity Model for Secure Digital Document Filling
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Solution Overview
Problem
Existing document filling systems are inefficient, insecure, and prone to errors due to reliance on manual user interactions and lack of trust in user attributes, leading to inaccurate and insecure digital documents.
Innovation Solution
A decentralized identity-based multi-tier user identity model is established to efficiently and securely fill digital documents by utilizing a three-tier user identity model with identifying information, verifiable credentials, and unverified claims, and using privacy-preserving arguments to protect sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual user interactions are used to fill digital documents, then flexibility and user control are maintained, but efficiency is reduced and error rates increase
Solution Approach 1:
The system enables automatic document filling by having the system retrieve and insert user attributes autonomously without requiring manual user interactions. The fillable document system automatically accesses user profiles, retrieves relevant attributes, and populates document fields, allowing the system to serve itself rather than requiring continuous user input.
Solution Approach 2:
User attributes are pre-stored in user profiles before document filling is needed. The system maintains ready-to-use attribute data that can be quickly retrieved and inserted into documents, eliminating the need for users to manually input information at the time of document creation or completion.
2Manufacturing precision
If user attributes are directly inserted into digital documents, then filling accuracy is improved, but security is compromised due to sensitive information leakage
Solution Approach 1:
The system applies different quality levels of information insertion based on the specific field requirements. Sensitive attributes are inserted in a protected or masked form, while non-sensitive attributes are inserted directly. This allows the system to maintain high accuracy for filling while applying appropriate security measures to sensitive data on a field-by-field basis.
Solution Approach 2:
The system introduces an intermediary layer between the user attributes and the document fields. This intermediary mechanism validates, filters, and conditionally inserts attributes based on security policies and field requirements, ensuring that sensitive information is handled appropriately while maintaining filling accuracy for all fields.
3Reliability
If traditional document filling systems are used, then simplicity is maintained, but reliability is reduced due to error-prone methods
Solution Approach 1:
The system creates a universal fillable document framework that can handle multiple document types and attribute categories through a single integrated system. The same core mechanisms retrieve user attributes, validate them, and insert them into various document fields, reducing overall system complexity despite the enhanced reliability and multiple functions.
Data Source
AI summary
Systems, methods, and non-transitory computer readable media fill in digital documents using user identity models of client devices. For instance, one or more embodiments involve maintaining a user identity model that includes various details related to a client device, such as verifiable credentials and unverified claims. Upon receiving a digital document for the client device, one or more user attributes associated with the verifiable credentials and/or unverified claims are retrieved from the user identity model. Using the user attribute(s), one or more digital fillable fields of the digital document are filled.