Content Privacy Scoring for App Access Blocking and Anonymization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies fail to adequately protect user privacy by considering the relationship between content and individual privacy, and require manual user intervention to block access to sensitive content.
Innovation Solution
An electronic device that assesses the relationship between content and user privacy through scoring based on information within the content and the application accessing it, determining whether to block access or anonymize content based on these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection is required for blocking access to each content, then user control over privacy is improved, but user convenience and operation ease deteriorate
Solution Approach 1:
The system automatically evaluates and determines access blocking decisions without requiring manual user intervention. The processor autonomously analyzes content sensitivity scores and application security scores to make access control decisions, eliminating the need for users to manually select each content item for privacy protection.
Solution Approach 2:
The system pre-calculates and stores sensitivity scores for content and security scores for applications before access requests occur. This preliminary scoring enables rapid automated decision-making at the time of access request without requiring real-time user input or manual content evaluation.
2Productivity
If broad content access is granted under user consent, then application functionality is improved, but individual content privacy protection deteriorates
Solution Approach 1:
The system divides content access control into individual granular units, evaluating each content item separately based on its sensitivity score. Instead of treating all content uniformly under broad consent, the processor segments access decisions by comparing specific content sensitivity with specific application security levels, enabling precise control over individual content items.
Solution Approach 2:
The system applies different access control policies to different content items based on their specific sensitivity characteristics. High-sensitivity content receives stricter access control while lower-sensitivity content allows broader access, creating localized quality variations in privacy protection across different content items rather than uniform protection or exposure.
3Reliability
If automated access control is implemented based on content sensitivity, then privacy protection is improved, but system complexity increases
Solution Approach 1:
The system manages complexity by reducing the access control problem to two key parameters: content sensitivity score and application security score. By transforming complex privacy evaluation into a standardized scoring system with clear thresholds, the processor can make automated decisions based on simple parameter comparisons rather than complex multi-factor analysis.
Data Source
AI summary
An electronic device may: when a first piece of content is acquired, acquire a first score for the relationship between the first piece of content and the privacy of a user of the electronic device, on the basis of information about a person included in the first piece of content and information about an event included in the first piece of content; acquire a second score for the security of each of at least one application which can access the first piece of content; and, when a request for accessing the first piece of content via a first application from among the at least one application is received, determine whether or not to block access to the first piece of content via the first application, on the basis of the first score corresponding to the first piece of content and the second score corresponding to the first application.


