Device Privacy Scoring Using Supplier and Product-Level Assessment
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Solution Overview
Problem
Existing user data privacy protection methods primarily focus on the product itself, making it difficult to accurately assess the privacy protection status and manage security and privacy effectively.
Innovation Solution
A device privacy management method that includes performing privacy protection level measurements on a device under test and supplier privacy management level measurements, generating a privacy protection degree score based on these results, and upgrading the device's privacy protection accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If privacy protection assessment focuses only on individual products, then the assessment scope is narrow and easy to implement, but the accuracy of privacy protection status assessment is insufficient
Solution Approach 1:
The privacy protection assessment system is segmented into multiple independent measurement modules: a first measurement module for assessing the device under test and a second measurement module for assessing the supplier. Each module independently evaluates specific aspects (privacy protection technologies, compliance risks, management systems, etc.), and their results are combined to form a comprehensive assessment. This segmentation enables accurate multi-dimensional evaluation while maintaining manageable complexity through modular design.
2Measurement precision
If privacy protection assessment includes both device and supplier measurements, then the assessment comprehensiveness is improved, but the measurement and evaluation difficulty increases
Solution Approach 1:
The patent introduces an intermediary processing mechanism that receives measurement results from both the first measurement module (device assessment) and the second measurement module (supplier assessment). This intermediary combines the results according to preset rules and generates a comprehensive privacy protection degree score. The intermediary abstracts the complexity of integrating multiple assessment dimensions, making the overall measurement process more manageable while maintaining comprehensiveness.
3Measurement precision
If privacy protection degree score is generated based on multiple measurement results, then the scoring accuracy is improved, but the calculation and processing complexity increases
Solution Approach 1:
The score generation mechanism incorporates feedback loops where the privacy protection degree score is calculated based on measurement results, then fed back to identify improvement points. The system uses this feedback to guide privacy protection upgrades, and subsequent measurements verify the improvement effects. This feedback mechanism enables accurate scoring while managing complexity through iterative optimization rather than complex one-time calculations.
Data Source
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AI summary
Embodiments of the present disclosure disclose a device privacy management method. The method comprises: performing privacy protection level measurement on a device to be measured, so as to obtain a first privacy measurement result; performing privacy management level measurement on a supplier to which said device belongs, so as to obtain a second privacy measurement result; generating a privacy protection degree score according to the first privacy measurement result, the second privacy measurement result, and a preset score weight; and upgrading privacy protection of the device. Thus, privacy security and protection management is implemented.