Privacy Score Mediator for User Data Exchange
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Solution Overview
Problem
Users face challenges in sharing personal data with service providers due to privacy concerns, as third-party applications can misuse this information without consent, and there is a difficulty in valuing and negotiating the privacy-sensitive data for incentives.
Innovation Solution
A system that assigns a privacy score to user data based on varying degrees of privacy settings, allowing users to make selections and negotiate data sharing with service providers through a marketplace, where users can receive incentives for sharing privacy-sensitive information while protecting their privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users share personal data with service providers to receive incentives, then the productivity and service quality improve, but the reliability and security of user privacy deteriorate
Solution Approach 1:
The patent introduces a trusted intermediary system that acts as a mediator between users and service providers. This intermediary verifies service provider credentials, manages user consent, and ensures data sharing occurs only under agreed privacy terms. The intermediary platform enables productive data exchange while maintaining privacy security through automated verification and monitoring mechanisms.
2Ease of operation
If users allow third-party applications to access personal data, then the ease of operation and service functionality improve, but the object-affected harmful factors increase due to potential misuse without consent
Solution Approach 1:
The patent implements dynamic consent management where users can adjust their privacy preferences in real-time. The system continuously monitors data access requests and automatically enforces user-defined privacy policies. This dynamic approach allows service functionality to operate smoothly while adapting privacy protection levels based on current user preferences and contextual factors.
Solution Approach 2:
The system incorporates feedback mechanisms that notify users of data access requests and allow them to approve or deny access. The system also provides feedback to service providers about compliance status and automatically adjusts data sharing permissions based on user responses. This closed-loop feedback ensures ease of operation while preventing unauthorized misuse through continuous user control.
3Reliability
If users selectively share data with varying privacy degrees to protect privacy, then the reliability of privacy protection improves, but the device complexity and negotiation process complexity increase
Solution Approach 1:
The patent transforms complex privacy negotiation into parameter-based selections where users adjust privacy sensitivity levels, data types, and sharing conditions through standardized parameters. The system automatically processes these parameter combinations and generates appropriate data sharing agreements. This parameterization reduces negotiation complexity while maintaining reliable privacy protection through systematic configuration options.
Data Source
AI summary
Methods and apparatus for negotiation of data sharing arrangements. A user profile vector comprising user data is defined according to user selections and privacy and cost information relating to the user profile vector are computed. The user profile vector and service provider data requests by service providers are compared, and data sharing arrangements are entered into when a match is identified between the user profile vector and a provider data request. Data collection and sharing is conducted in accordance with the arrangements.