Data Protection Query Interface for Privacy-Preserving Verification
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Solution Overview
Problem
Users face challenges in securely verifying sensitive data while maintaining privacy, as third parties often struggle to verify aspects of a user's data without exposing non-desirable information.
Innovation Solution
A system and method that includes a processor and memory to receive queries from third parties, analyze the type of sensitive data to verify, and generate verification responses without exposing the user's data, using aggregation modules and query interfaces to securely validate queries while preserving privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If third parties access user's sensitive data directly to verify information, then verification reliability is improved, but user privacy is compromised
Solution Approach 1:
The patent introduces an intermediary system that receives verification requests from third parties, retrieves relevant sensitive data from user profiles, applies redaction rules to mask non-essential information, and returns only the verified results without exposing raw sensitive data. This mediator architecture enables verification while preserving privacy by decoupling the verification process from direct data exposure.
Solution Approach 2:
The system extracts only the specific verification results needed by third parties from the complete sensitive data set, separating essential verification information from non-essential private details. Redaction rules systematically remove or mask unnecessary sensitive elements, leaving only the minimal required information for verification purposes.
2Reliability
If all sensitive data is exposed to third parties for comprehensive verification, then verification completeness is improved, but data security is worsened
Solution Approach 1:
The patent applies different levels of data disclosure to different third-party verification scenarios. Redaction rules are customized based on the specific verification purpose, data type, and third-party trust level, allowing comprehensive verification where needed while maintaining security where possible. Each data element receives appropriate treatment based on its sensitivity and verification relevance.
Solution Approach 2:
The system dynamically adjusts the level of data exposure by changing parameters such as redaction thresholds, verification depth, and data masking intensity. These parameters can be modified based on verification requirements, user preferences, and security policies, enabling flexible balancing between verification completeness and data security.
Data Source
AI summary
Apparatuses, methods, program products, and systems are disclosed for data protection query interface. An apparatus includes a processor and a memory that stores code executable by the processor to receive, via a query interface, a query from a third-party to verify sensitive data associated with a user, analyze the query to identify a type of the user's sensitive data to verify, and generate a verification response to the query based on verifying the user's sensitive data related to the type of sensitive data to verify without exposing the user's sensitive data to the third-party.