Token Generation System for Privacy-Preserving Identity Verification
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Solution Overview
Problem
Current systems face inefficiencies in managing information, such as identity information and digital representations of state, including ownership, access rights, and usage predicates, in online commerce environments.
Innovation Solution
The development of systems and methods for token generation and management, which involve identifying input tokens, generating output tokens based on these inputs, and storing them on a ledger, with features like generalization of detailed information, encryption, and conditional policies for validity and access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed information is stored in tokens for accurate representation, then information completeness is improved, but privacy protection deteriorates
Solution Approach 1:
The patent extracts only the necessary verification attributes from detailed personal information. For example, instead of storing full birthdate, only age verification is extracted; instead of exact location, only geographic region is extracted. This allows identity verification while removing unnecessary privacy-exposing details.
Solution Approach 2:
The patent applies different levels of information detail to different verification purposes. Sensitive information like exact birthdate or precise location is generalized to the minimum necessary level (age, geographic region) while maintaining verification capability. This local quality adjustment protects privacy where needed while preserving functionality.
2Adaptability or versatility
If multiple input tokens are processed to generate output tokens with complex policies, then functionality and control are improved, but system complexity deteriorates
Solution Approach 1:
The patent segments complex verification requirements into multiple independent input tokens, each representing a specific verification criterion (identity verification, age verification, location verification, etc.). The output token then integrates these segmented verifications with associated policies. This segmentation makes the complex system manageable and modular.
Solution Approach 2:
The output token serves multiple functions: it consolidates verification results from multiple input tokens, stores generalized information, embeds access policies, and enables conditional logic for different use cases. This multi-functionality reduces the need for separate systems for each verification type.
3Reliability
If encryption is applied to token references and sensitive data, then security is improved, but data accessibility and processing speed deteriorate
Solution Approach 1:
The patent stores encrypted references to input tokens in the output token rather than the full token data. This copying approach allows the output token to be processed and verified quickly using the encrypted reference, while the actual sensitive data remains secured in its source location. The encrypted reference acts as a secure pointer that enables fast verification without exposing or transferring sensitive information.
Data Source
AI summary
Systems and methods for token generation and management in accordance with embodiments of the invention are illustrated. One embodiment includes a method for minting tokens. The method includes steps for identifying a set of one or more input tokens, generating an output token based on the set of input tokens, and storing the output token to a ledger.