Intelligent Content Sharing with Privacy Protection
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Solution Overview
Problem
Existing electronic devices lack an efficient method to automatically detect and modify critical information in content before sharing, posing a privacy and security risk.
Innovation Solution
An electronic device equipped with a multi-fold content transformer that analyzes content context to identify non-shareable portions, suggesting modifications such as beautification, pixilation, or masking, and applies user-selected modifications before sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual modification is used to hide critical information in content, then privacy and security are protected, but user experience degrades due to the hectic task
Solution Approach 1:
The system performs automatic detection and modification of critical information in content without requiring user intervention. The electronic device autonomously identifies portions containing critical information and applies appropriate modifications such as beautification, pixilation, masking, or cropping, thereby protecting privacy and security while eliminating the manual effort burden on users.
Solution Approach 2:
The system performs detection and modification of critical information before the content is shared. By proactively identifying and modifying sensitive portions in advance, the system ensures privacy protection is built into the sharing process itself, rather than requiring users to manually prepare content afterward.
2Ease of operation
If automatic detection and modification of critical information is implemented, then user experience improves, but device complexity increases
Solution Approach 1:
The system segments the content analysis process into distinct functional modules: a critical information detector that identifies sensitive portions, a modifier that applies transformations, and a sharing manager that coordinates the process. This modular segmentation manages complexity by organizing functions into separate, manageable components rather than a monolithic system.
Solution Approach 2:
The system introduces intermediary components such as the critical information detector and modifier that act as mediators between the user's sharing intent and the actual content transmission. These intermediaries handle the complex analysis and transformation tasks, shielding users from complexity while enabling sophisticated privacy protection.
3Adaptability or versatility
If content is shared to social media applications or unknown contacts, then connectivity and communication are enhanced, but privacy and security threats increase
Solution Approach 1:
The system applies different modification strategies to different portions of content based on their sensitivity. Critical information portions receive appropriate modifications such as masking or pixilation, while non-sensitive portions remain unchanged. This local differentiation allows the system to maintain communication versatility while selectively protecting sensitive areas.
Solution Approach 2:
The system takes preliminary protective action by detecting and modifying critical information before content is shared to potentially insecure destinations like social media or unknown contacts. This preemptive modification creates a protective barrier against privacy threats while allowing the sharing functionality to operate freely.
Data Source
AI summary
A method for intelligently sharing a content by an electronic device is provided. The method includes determining, by the electronic device, a context of sharing the content. The method includes analyzing, by the electronic device, the content with reference to the context. The method includes identifying, by the electronic device, portions of the content as non-shareable based on the analysis. The method includes providing, by the electronic device, a modification action suggestion on the portions identified as non-shareable.