Privacy Tokens for Controlled Access to Personal Event Data
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Solution Overview
Problem
Existing data management systems compromise the privacy of individuals, particularly in health care scenarios, as they often require the disclosure of personal data beyond the agreed scope, lacking flexibility and efficiency in managing data usage and control.
Innovation Solution
A system and method utilizing tokens to represent and manage data, ensuring privacy by encrypting and authenticating data access, allowing authorized entities to access relevant information without revealing sensitive details, using cryptographic methods and distributed ledgers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is disclosed to enable interactions and achieve outcomes, then productivity and ease of operation are improved, but privacy and data security deteriorate
Solution Approach 1:
The patent extracts only the essential information needed for interactions while leaving sensitive personal data behind. Tokens are generated that represent data without containing the actual sensitive information, allowing data usage while protecting privacy. This resolves the contradiction by separating data representation from data disclosure.
Solution Approach 2:
The patent introduces tokens as intermediary elements that mediate between data providers and data recipients. These tokens enable interactions and achieve outcomes without direct exposure of sensitive personal data, thus improving productivity while maintaining privacy through a protective intermediary layer.
2Reliability
If data access is restricted to protect privacy, then data security is improved, but ease of operation and flexibility deteriorate
Solution Approach 1:
The patent implements dynamic access control where tokens can be selectively generated and revoked based on interaction needs. This allows the system to adapt between restricted and permissive states, maintaining security while enabling flexible data usage when appropriate. The dynamic nature resolves the contradiction by making access control responsive rather than static.
Solution Approach 2:
The patent changes the parameter of data representation from actual personal data to tokenized representations. This parameter change maintains security by not exposing sensitive information while simultaneously improving ease of operation by enabling flexible token-based interactions and data sharing without compromising privacy.
3Measurement precision
If comprehensive data is collected for accurate event detection, then measurement precision is improved, but privacy and data protection deteriorate
Solution Approach 1:
The patent extracts only the essential features needed for event detection while leaving out sensitive personal identifiers. Tokens are generated that contain sufficient information for accurate fall detection and health monitoring without including unnecessary personal data, thus improving measurement precision while reducing privacy risks.
Solution Approach 2:
The patent creates token copies that represent personal data without being the actual sensitive information. These token copies enable accurate event detection by preserving relevant patterns and characteristics while eliminating privacy risks associated with using real personal data. The copying principle resolves the contradiction by decoupling detection accuracy from privacy exposure.
Data Source
AI summary
A system, apparatus, and method to monitor an event associated with a person and report the event as a tokens to other devices or to a central server.