Composite Screen-Sharing Analysis for Sensitive Content Privacy
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Solution Overview
Problem
Screen sharing in computing environments often leads to unintentional exposure of sensitive or inappropriate content, posing security and privacy risks due to the transparent nature of sharing entire screens, which can result in legal, regulatory, and social issues.
Innovation Solution
A system employing artificial intelligence to monitor and alter screen sharing sessions by identifying specific content elements using multimodal machine learning models, altering the video stream to obscure or replace sensitive information, ensuring secure sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entirety of a user's screen is shared during screen sharing, then complete information transparency is achieved, but security and privacy are compromised due to unintentional exposure of sensitive content
Solution Approach 1:
The patent applies local quality by differentiating treatment of different screen regions. Sensitive content areas are identified and selectively obscured while non-sensitive areas remain visible. This allows the screen sharing to maintain transparency where appropriate while protecting specific sensitive regions, resolving the contradiction between complete information sharing and security protection.
Solution Approach 2:
The patent extracts sensitive content from the overall screen share stream by identifying and isolating specific content elements that require protection. The sensitive content is then processed separately (obscured or redacted) before being recombined with the non-sensitive portions, achieving both transparency and security.
2Reliability
If screen sharing monitors and alters video streams to protect sensitive content, then privacy security is improved, but system complexity increases due to AI processing requirements
Solution Approach 1:
The patent introduces an intermediary AI processing layer between the screen capture source and the video transmission destination. This intermediary automatically analyzes, identifies, and modifies sensitive content without requiring complex user-side or recipient-side processing, thereby improving privacy security while managing system complexity through centralized automated processing.
Solution Approach 2:
The screen sharing system performs self-service by automatically monitoring its own video stream, identifying sensitive content, and applying appropriate obfuscation without external intervention. The system autonomously protects its own transmissions, reducing the need for additional complex security infrastructure.
Data Source
AI summary
A screen sharing session of a host computing device is detected. The screen sharing session includes a first video stream of a graphical user interface. The screen sharing session is directed to a set of one or more target computing devices. The screen sharing session is monitored for a set of one or more content elements. A first content element of the set of content elements in the first video stream is identified in response to the monitoring. The identification is based on the screen sharing session. The first video stream is intercepted in response to the identification of the first content element. Based on the first content element, the first video stream is altered.