Dynamic Sensitive Data Concealment in Video Conference Screen Sharing
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Solution Overview
Problem
In videoconferencing, users often inadvertently reveal sensitive information when screen sharing, as existing technologies lack robust privacy systems to detect and conceal such information in real-time.
Innovation Solution
A system and method that dynamically conceals sensitive information by monitoring graphical user interfaces for sensitive data, executing privacy actions such as disabling screen share mode and enabling video mode, using natural language processing to detect intent to share, and employing machine learning to identify and obscure sensitive data fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If screen share mode is enabled to allow users to share documents and applications during videoconferencing, then collaboration and communication efficiency is improved, but the risk of inadvertently revealing sensitive information increases
Solution Approach 1:
The system performs preliminary detection of sensitive information in the graphical user interface before allowing screen sharing to commence. By analyzing the screen content in advance and identifying sensitive data elements such as credit card numbers, social security numbers, and personal information, the system can prevent exposure before it occurs by blocking the screen share or notifying the user to remove sensitive information.
Solution Approach 2:
The privacy system acts as an intermediary layer between the user's screen content and the video conference participants. It monitors the graphical user interface in real-time, detects sensitive information, and dynamically conceals or redacts such information during screen sharing, allowing collaboration to proceed while protecting sensitive data.
2Reliability
If real-time monitoring of graphical user interface is implemented to detect sensitive information, then privacy protection capability is improved, but system complexity and computational resources increase
Solution Approach 1:
Instead of analyzing the entire graphical user interface uniformly, the system focuses detection efforts on specific regions or elements that are more likely to contain sensitive information, such as input fields, document content areas, and pop-up windows. This localized approach reduces computational overhead while maintaining effective privacy protection.
Solution Approach 2:
The system employs lightweight machine learning models and pattern recognition algorithms that can quickly identify sensitive information without requiring heavy computational resources. These simplified detection mechanisms provide effective privacy protection with minimal impact on system performance and complexity.
3Reliability
If dynamic concealment of sensitive information is performed during screen sharing, then information security is improved, but processing time and computational load increase
Solution Approach 1:
The system detects and marks sensitive information elements before screen sharing begins, creating a preliminary map of what needs to be concealed. This pre-detection approach allows the system to quickly apply concealment measures during screen sharing without performing complex analysis in real-time, thereby reducing processing delays.
Solution Approach 2:
The concealment mechanism dynamically adjusts based on the detected sensitive information, applying redaction or masking only to specific regions containing sensitive data rather than the entire screen. This dynamic, targeted approach minimizes processing time while maintaining information security.
Data Source
AI summary
Systems and methods for dynamically concealing sensitive information in a shared screen session of a video conference are disclosed. The system may establish communication with one or more computing devices active in a video conference in which each computing device may switch between a screen share mode and a video mode. The system may determine that one or more articles of sensitive information are visible in a graphical user interface associated with a first computing device of the plurality of computing devices. The system may receive a first signal from the first computing device that indicates a first intent of a host associated with the first computing device to switch the screen share mode which includes sharing the first graphical user interface with the one or more computing devices during the video conference. In response to the first signal, the system may execute one or more privacy actions.