Black Box Data Integrity Validation for Private Queries
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Solution Overview
Problem
Users lack control over their data privacy and security, with their personal information often being sold, transmitted, and reused without consent, making it difficult to maintain digital anonymity and protect sensitive information.
Innovation Solution
A system utilizing a black box device that stores user data and applies filters to generate filtered data, allowing only permitted queries to be answered locally without revealing identifying information, with permissions and compensation settings for data use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user data is stored and made accessible for queries, then data utility and service functionality are improved, but user privacy and security are compromised
Solution Approach 1:
The patent introduces a black box device as an intermediary between user data and querying systems. This device contains the user data locally and processes queries without transmitting the actual data, thereby enabling data utility while protecting privacy. The black box acts as a mediator that allows controlled access to information without exposing the underlying sensitive data.
Solution Approach 2:
The patent extracts the identifying and sensitive information from the data access process. By storing data locally in the black box and only transmitting processed results or aggregated information, the system separates the utility-providing function from the privacy-risk function, allowing queries to be answered without extracting or transmitting actual user data.
2Ease of operation
If blanket consent is required for data access, then service accessibility is improved, but user control over personal information is lost
Solution Approach 1:
The patent implements dynamic consent management where users can adjust their privacy preferences and control which data elements are accessible. The system transitions from static blanket consent to dynamic, granular control, allowing users to modify their permissions over time based on their changing privacy needs while maintaining service accessibility.
Solution Approach 2:
The patent segments user data into different categories and permission levels, allowing users to grant or deny access to specific data types independently. This segmentation enables fine-grained user control where individuals can permit certain data uses while restricting others, rather than requiring all-or-nothing consent decisions.
3Adaptability or versatility
If user data is transmitted and reused across platforms, then service functionality and personalization are improved, but digital anonymity and security are compromised
Solution Approach 1:
The patent creates local copies of user data stored in black box devices that remain on user premises. These local copies enable service functionality and personalized queries without requiring transmission of actual data across networks. The system uses replicated data structures and local processing to provide personalized services while maintaining digital anonymity.
4Adaptability or versatility
If comprehensive data collection is implemented, then service personalization and utility are improved, but user privacy protection becomes more difficult
Solution Approach 1:
The patent implements self-service privacy protection where the black box device automatically manages its own data security and access control. The device autonomously processes queries, applies permission rules, and protects data without requiring complex external privacy management systems. This self-service approach simplifies privacy protection despite comprehensive data collection for personalization.
Data Source
AI summary
A system, method, and device for data integrity validation are provided. The system includes a database for storing user data, a black box device for locally answering queries received from an end user device without revealing the stored user data, and end user device. The black box device includes memory for storing the user data, data filters, filtered data, the queries received from the end user device, query results, and excluded query result data and processor in communication with the memory. Processor is configured to generate the filtered data, determine whether each query received that addresses the filtered data is permitted, provide a response to each permitted query based on the generated filtered data, generate the excluded query result data by excluding stored user data that would facilitate identifying any user from the response to each permitted query, and transmit the excluded query result data to the end user device.