Privacy Data Control Rules for Copy and Transfer Compliance
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Solution Overview
Problem
Privacy data of users is difficult to protect due to its infinite copyability and transferability, unlike currency, which complicates user privacy protection.
Innovation Solution
A method and apparatus for controlling the production, transfer, and destruction of privacy data by determining privacy data attribute information and constructing control rules based on an expert knowledge base to manage the use of privacy data, using a privacy-preserving data risk prevention and control mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If privacy data is allowed to be freely copied and transferred, then data usability and accessibility are improved, but privacy protection capability deteriorates
Solution Approach 1:
The patent introduces a privacy protection mechanism as an intermediary layer between data subjects and data processors. This mechanism includes privacy protection policies, consent management, and access control systems that mediate data usage without preventing legitimate processing. The intermediary enables data usability while maintaining privacy protection by filtering and regulating access requests.
Solution Approach 2:
The patent changes the parameters of data processing by introducing dynamic consent states, access permissions, and usage restrictions. Instead of treating all data equally, the system adjusts processing parameters based on user preferences, data sensitivity levels, and contextual factors. This allows flexible data usage within defined privacy boundaries.
2Reliability
If strict control measures are implemented on privacy data, then privacy protection capability is improved, but data processing efficiency deteriorates
Solution Approach 1:
The patent implements preliminary privacy assessments and consent obtained before data processing begins. Privacy impact assessments, data classification, and permission settings are established in advance, allowing subsequent processing to proceed efficiently without repeated checks. This preliminary action prevents bottlenecks during actual data processing operations.
Solution Approach 2:
The system enables users to self-manage their privacy preferences and consent settings through user-friendly interfaces. Users can independently view, modify, and revoke permissions without requiring manual intervention from data processors. This self-service approach reduces administrative overhead and maintains processing efficiency while empowering users to control their own privacy settings.
3Reliability
If comprehensive monitoring of data processing procedures is implemented, then privacy protection capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the privacy protection system into distinct functional modules: consent management, access control, data classification, monitoring, and reporting. Each module handles specific aspects of privacy protection independently, making the overall system more manageable and maintainable. This segmentation allows targeted improvements without requiring comprehensive system redesign.
Solution Approach 2:
The patent designs universal privacy protection mechanisms that can be applied across multiple data processing scenarios and systems. The consent management framework, access control models, and monitoring templates are reusable components that serve multiple functions and contexts. This universality reduces overall system complexity by avoiding duplication of privacy protection functionality across different applications.
Data Source
AI summary
Some embodiments of this specification disclose a privacy-preserving data risk prevention and control method, apparatus, and device. The method includes: obtaining a processing request for target privacy data; determining privacy data attribute information corresponding to the target privacy data, where the privacy data attribute information includes information of one or more dimensions needed for controlling use of the target privacy data; determining a control rule corresponding to the target privacy data based on the privacy data attribute information corresponding to the target privacy data, where the control rule corresponding to the target privacy data is constructed based on an expert knowledge base; and controlling compliance of the use of the target privacy data based on the determined control rule corresponding to the target privacy data in a process of responding to the processing request.