Interactive Transaction Framework Using Biometric Authentication and Knowledge Graphs
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Solution Overview
Problem
Current form management and submission systems are cumbersome, prone to errors, and lack transparency and robust identity verification, leading to inefficiencies and security concerns.
Innovation Solution
A system and method for managing Interactive Transactions using ontology-based knowledge representation, biometric authentication, and tokenized identity management, which includes user registration, authentication, and the composition and processing of Interactive Transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional form systems are used, then users can submit forms, but the process becomes tedious and time-consuming
Solution Approach 1:
The system pre-processes form data into structured representations and pre-configures form templates with validation rules before users need to submit them. This eliminates the need for users to manually locate and configure forms, significantly reducing the time and effort required for form submission.
Solution Approach 2:
The system creates digital copies of form data and uses automated processing to replicate and validate information across multiple forms. This allows users to submit data once and have it automatically processed across various forms, eliminating repetitive manual entry and reducing overall submission time.
2Manufacturing precision
If manual input is required for forms, then data can be collected, but errors and inconsistencies increase
Solution Approach 1:
The system enables forms to self-validate and self-correct by automatically checking data consistency against predefined rules and ontology constraints. The system performs self-verification of form data, eliminating the need for manual review and reducing errors without requiring additional user input.
Solution Approach 2:
The system provides real-time feedback to users during form filling, immediately validating inputs against required criteria and ontology constraints. This instant feedback mechanism guides users to correct errors and ensures data consistency, significantly improving data accuracy while maintaining ease of operation.
3Reliability
If form authenticity is difficult to verify, then forms can be submitted, but security and data integrity concerns arise
Solution Approach 1:
The system replaces manual signature verification with automated cryptographic authentication mechanisms. Digital signatures and secure tokenization automatically verify form authenticity and user identity, eliminating the need for complex manual verification processes while ensuring high reliability and security.
Solution Approach 2:
The system introduces a trusted intermediary authentication service that mediates between form submitters and verification systems. This intermediary layer handles complex authentication protocols and cryptographic verification, simplifying the overall system architecture while maintaining high security standards and reliable form authentication.
4Adaptability or versatility
If extensive user information is required for form management, then forms can be managed, but data privacy and security concerns increase
Solution Approach 1:
The system extracts and separates sensitive user information from the form management process by using tokenized identifiers and anonymous data representations. Only necessary form-related data is collected and processed, while personal identification information is removed or encrypted, significantly reducing data privacy risks while maintaining full form management functionality.
Solution Approach 2:
The system changes the state of user data from raw personal information to transformed and encrypted representations. Data is tokenized, hashed, or encrypted before storage and processing, altering its form to maintain functionality while eliminating direct access to sensitive information, thereby reducing security risks.
5Reliability
If hand-drawn signatures are used for verification, then forms can be authenticated, but security risks and disputes over validity increase
Solution Approach 1:
The system replaces manual hand-drawn signatures with digital cryptographic signatures and biometric authentication. These automated electronic verification methods provide stronger security, eliminate disputes over signature validity, and maintain ease of operation through automated verification processes that require minimal user interaction.
Data Source
AI summary
A System for providing Interactive Transaction Frameworks, utilizing biometric authentication and semantic web technologies is disclosed. The system registers users with a unique biometric-based identifier, and employs ontologies, schemas, and knowledge graphs to create a semantic foundation. A Large Language Model integrated with the Knowledge Graph Module enables intelligent processing of Interactive Transaction data. The system composes Interactive Transactions with fields mapped to semantic triples, maintains them in an Interactive Transaction Library, and manages user permissions. A Transaction Publishing Platform facilitates Interactive Transaction distribution and submission-response cycles. The system refines inputs and responses, determining outcomes based on these interactions. The system offers a sophisticated, secure, and adaptable approach to Interactive Transaction management and processing across various domains.