Disposable Identity Creation with Zero-Knowledge Account Limits
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Solution Overview
Problem
Existing identity management solutions fail to effectively limit the number of accounts created by users, leading to potential attacks on platforms and lack of accountability for data breaches, while compromising user anonymity and privacy.
Innovation Solution
A method for creating and managing disposable identities using an intermediary platform divided into a non-secret and anonymous part, employing zero-knowledge protocols to generate and manage limited disposable identities per platform, ensuring user anonymity and protecting platforms from attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If unlimited disposable identities are created for each platform, then user anonymity is improved, but platform security deteriorates due to potential attacks and lack of accountability
Solution Approach 1:
The system segments identity creation by introducing platform-specific identity counters (cid) that are tied to individual platform identifiers (did). This segmentation allows anonymity to be maintained while enabling platform-specific tracking and limiting of identity creation, preventing abuse while preserving user privacy.
Solution Approach 2:
The system introduces an intermediary verification mechanism where the server acts as a mediator between the user and the identity creation process. The server verifies platform-specific identity limits through cryptographic proofs without revealing the user's real identity, thus maintaining anonymity while ensuring platform security through accountable identity management.
2Object-affected harmful factors
If platform-specific identity limits are enforced, then platform security is improved, but system complexity increases due to verification protocols
Solution Approach 1:
The system replaces traditional mechanical verification mechanisms (such as database lookups and administrative checks) with cryptographic proof systems. Zero-knowledge proofs and commitment schemes enable automated verification of platform-specific identity limits without requiring complex centralized verification infrastructure, reducing system complexity while maintaining security.
3Object-affected harmful factors
If real identity data is collected for verification, then accountability for data breaches is improved, but user privacy deteriorates
Solution Approach 1:
The system extracts only the necessary verification elements (platform-specific identity counters and commitments) from the user's real identity data. By taking out and verifying only these minimal cryptographic proofs rather than collecting actual personal information, the system achieves accountability for identity creation while preserving user privacy through selective data extraction.
Solution Approach 2:
The system changes the verification parameter from collecting real identity data to verifying cryptographic commitments. Instead of storing and processing sensitive personal information, the system verifies mathematical proofs that demonstrate compliance with platform-specific identity limits, transforming the verification process from data-intensive to computation-intensive while protecting user privacy.
Data Source
AI summary
The object of the invention is a method for creating and managing disposable identities which relies on at least one server and comprises the following steps: a request to generate at least one token is sent by the user to the non-secret part; the user sends at least one token to the anonymous part and requests the creation of a disposable identity; the token is verified by the anonymous part; if the verification is correct, the anonymous part creates a disposable identity and provides the access data to the user.