Identity Document Authentication via Zero-Knowledge Proof
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Solution Overview
Problem
Existing identity document authentication methods compromise privacy by requiring transmission of personal data and are vulnerable to hacking, as they rely on sending images that include sensitive information, and do not effectively differentiate between document forgery and identity theft.
Innovation Solution
A method using a client device to extract and process image data from identity documents, generating a zero-knowledge proof and cryptographic footprint, which is then verified by a server without revealing sensitive information, ensuring secure authentication of both the document and the individual while protecting privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal data and images are transmitted for authentication, then authentication can be performed, but privacy is compromised and security is vulnerable to hacking
Solution Approach 1:
The patent extracts only the essential visual features from the identity document photograph that are sufficient for authentication, separating these features from the complete personal data. This allows authentication to proceed without transmitting or storing sensitive personal information such as names, addresses, or other identifying details, thus resolving the contradiction between authentication reliability and privacy protection.
Solution Approach 2:
The patent introduces an intermediary encoding mechanism that transforms the photograph into a processed representation containing only authentication-critical features. This intermediary form acts as a mediator between the original sensitive data and the authentication system, enabling verification while preventing access to underlying personal information and eliminating the privacy-security vulnerability.
2Reliability
If complete identity document data is transmitted, then comprehensive verification is possible, but the system becomes vulnerable to data interception and hacking
Solution Approach 1:
The system extracts and transmits only the specific visual features necessary for verification accuracy, removing all non-essential personal data from the transmission stream. This minimizes the attack surface for potential hackers while maintaining sufficient information for reliable document verification, thus resolving the contradiction between verification accuracy and security vulnerability.
3Adaptability or versatility
If all personal data are stored and transmitted, then full authentication capability is achieved, but data protection requirements increase
Solution Approach 1:
The patent extracts and retains only the authentication-critical visual features from the identity document, eliminating the need to store and protect extensive personal data. This reduction in data scope maintains full authentication capability while dramatically simplifying data protection requirements, as fewer data elements need to be secured against breaches and unauthorized access.
Data Source
AI summary
A method of authenticating an identity document based on an extraction, by analysis of an image acquired of the identity document, of candidate information representative of the appearance of a photograph such as depicted in the acquired image and optically readable data as depicted in the acquired image.