Three-Dimensional User Data Mapping for Selective Privacy Disclosure
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Solution Overview
Problem
The widespread distribution of personal data poses risks as it allows unwanted parties to access and misuse user information, compromising privacy and security.
Innovation Solution
A three-dimensional map is created to identify user interests and sub-topics, with markers indicating the level of detail for data sharing, and obfuscation techniques like spin and lock ciphers are used to protect user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If personal data is widely distributed and shared for various purposes, then convenience and potential benefits are improved, but privacy security and control over data access deteriorate
Solution Approach 1:
The patent segments user data into different specificity levels (broad topics vs. specific details) and allows selective sharing of each level. This enables data to be distributed widely at aggregate levels while protecting sensitive individual details, resolving the contradiction between data accessibility and privacy security.
Solution Approach 2:
The patent applies different privacy protection levels to different portions of user data based on their sensitivity and specificity. General demographic data can be shared freely while highly specific personal information receives enhanced protection, allowing convenient data usage where appropriate while maintaining security where needed.
2Productivity
If data is shared with multiple parties for targeted advertising and analysis, then business value and user service quality are improved, but uncertainty about data access by unwanted parties increases
Solution Approach 1:
The patent establishes user-defined privacy preferences and specificity levels in advance before data is shared with third parties. This preliminary configuration ensures that data is distributed widely for valuable purposes while maintaining reliable access control, as the filtering criteria are predetermined by the user rather than determined ad hoc by each data recipient.
Solution Approach 2:
The patent implements a feedback mechanism where users can review how their data is being used and adjust their privacy preferences and specificity levels. This allows continuous optimization of the balance between data utilization value and access control reliability, as users can respond to actual data usage patterns and tighten or relax controls as needed.
Data Source
AI summary
A method for data filtering that identifies a topic of interest for a user and individual sub-topics within the topic the user could be, or is, interested in. A three-dimensional map depicting a topic of interest containing markers for the sub-topics is created and used to specify a level of detail about the user's interest in the sub-topics that can be shared to or used by an external source.