Dynamic Content Access Control for Electronic Devices
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Solution Overview
Problem
Existing techniques fail to provide a mechanism for Original Equipment Manufacturers (OEMs) to automatically control access to user data on electronic devices, leading to privacy breaches as applications can freely access user data based on static permissions.
Innovation Solution
A method and system that capture user interactions with content types, extract attribute values indicative of user behavior patterns, classify content as either of interest or not of interest, and control access to the content for applications based on this classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If applications are given permissions to access user data, then applications can freely access user data, but user privacy is breached and data is leaked to third parties
Solution Approach 1:
The patent implements dynamic access control by continuously monitoring user interactions with content and automatically adjusting application permissions in real-time. The system transitions from static permissions to dynamic permissions that change based on user behavior patterns, allowing applications to access data only when and where the user is actively engaged, thereby preventing privacy breaches while maintaining necessary access capabilities.
Solution Approach 2:
The system establishes a feedback loop where user interactions with content are monitored, analyzed to identify user interest patterns, and used to automatically adjust application access permissions. This feedback mechanism ensures that applications lose access to content when user interest wanes or when content is marked as sensitive, creating a self-regulating system that protects privacy while maintaining adaptability.
2Device complexity
If static permissions are used to control data access, then access control is simple, but the system cannot adapt to changing user interests and behaviors
Solution Approach 1:
The system performs preliminary analysis of user interactions with content to establish baseline user interest patterns and sensitivity thresholds before actual data access occurs. By pre-characterizing user behavior patterns and pre-configuring sensitivity thresholds, the system enables complex dynamic access control without adding significant operational complexity during normal operation.
Solution Approach 2:
The access control system operates autonomously by automatically monitoring user interactions, analyzing behavior patterns, and adjusting permissions without requiring manual user intervention or complex administrative configuration. The system serves itself by using machine learning models to continuously improve its understanding of user preferences and automatically enforce appropriate access controls.
3Productivity
If applications can access all user data, then applications have full functionality, but user interest information is easily leaked and privacy is breached
Solution Approach 1:
The patent applies local quality control by differentiating access rights based on specific content characteristics and user interaction contexts. Instead of uniform access control, the system analyzes individual content items and user interactions to determine fine-grained access permissions, allowing applications to access only the specific portions of data that are relevant to current user interests and activities.
Solution Approach 2:
The system segments user data access into distinct categories based on content sensitivity and user interest level. By dividing data access into segments (e.g., publicly accessible content, conditionally accessible content, and restricted content), the system enables applications to function fully for appropriate content while automatically restricting access to sensitive information that could be leaked to third parties.
Data Source
AI summary
A method and system for controlling framework units for accessing content on an electronic device is described. The method comprises: capturing an interaction indicative of an interaction of a user with respect to each content type of the content; extracting a set of attribute values based on the content and the interaction, wherein the set of attribute values is indicative of user behaviour patterns with respect to each content type; classifying the content based on the extracted set of attributes values, wherein the classification determines the sensitivity of the content as either of interest or of non-interest; and controlling access to the content for one or more applications associated with the electronic device based on the classified content being one of interest or non-interest to the user.