Granularity-Based Data Transformation for Privacy Protection
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Solution Overview
Problem
Current systems lack sufficient features to control the granularity of data sharing, particularly in sensitive information, leading to inadequate protection of users' private data when sharing information through communication networks.
Innovation Solution
A method and apparatus that determine a granularity level for data based on associated privacy policies, processing the data to generate transformed data suitable for sharing, considering factors like intended use, recipient trust, and device capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data sharing is enabled to allow users to share information, then information accessibility is improved, but privacy protection deteriorates
Solution Approach 1:
The patent segments data into different granularity levels (e.g., coarse-grained location vs. fine-grained location). Instead of sharing complete data, the system shares only the necessary portion based on privacy policies. For example, sharing neighborhood-level location data instead of exact street addresses, thus maintaining both accessibility and privacy protection.
Solution Approach 2:
The patent applies different quality levels to different parts of the data based on privacy policies. Sensitive data fields are processed with higher granularity control while less sensitive fields maintain standard sharing. This allows selective detail sharing where privacy concerns are higher and information needs are lower.
2Object-affected harmful factors
If privacy policies are implemented to protect user data, then privacy protection is improved, but data sharing capability deteriorates
Solution Approach 1:
The patent implements dynamic data transformation based on privacy policies. The system automatically adjusts data granularity levels according to the specific privacy policy requirements of different users or applications. This dynamic adaptation allows the system to maintain strong privacy protection while still enabling flexible data sharing capabilities through automated policy-based transformations.
Data Source
AI summary
An approach is provided for providing data based on granularity information. The policy platform determines to act on a request, from an application or a service, for data associated with a device, a user of the device or a combination thereof. Next, the policy platform determines a granularity level for the data based, at least in part, on at least one privacy policy associated with the data, the application, the service, the device, the user of the device or a combination thereof. Then, the policy platform processes and/or facilitates a processing of the data to generate transformed data based, at least in part, on the granularity level.