Visual Noise Overlay for Display Screen Data Leakage Deterrence
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Solution Overview
Problem
Current methods to prevent data leakage from digital devices are inadequate, as they do not effectively deter external cameras from capturing sensitive information, particularly in remote or hybrid work environments where confidential information can be inadvertently shared.
Innovation Solution
A system and method that detects sensitive digital content on devices, applies unique visual noise based on user information from an enterprise database, modifying or overlaying it to prevent unauthorized image capture by external cameras, using alphanumeric, special, or graphical content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual noise is applied to digital content to prevent external camera capture, then data leakage prevention is improved, but user experience and content readability deteriorate
Solution Approach 1:
The patent applies visual noise selectively based on content classification. Different noise patterns are applied to different types of content (text, images, videos) and different security levels. This allows the system to maintain readability for low-risk content while applying stronger noise to highly sensitive content, thus balancing data protection with user experience.
Solution Approach 2:
The system dynamically adjusts noise parameters such as noise intensity, pattern type, and overlay transparency based on the classified security level of the digital content. By changing these parameters adaptively, the system optimizes the balance between preventing data leakage and maintaining content usability for authorized users.
2Reliability
If visual noise is applied to digital content to deter photographing, then data leakage prevention is improved, but device complexity increases
Solution Approach 1:
The patent implements a unified visual noise generation and application system that handles multiple types of digital content (text documents, images, videos, presentations) through a single framework. The system classifies content by security level and applies appropriate noise patterns, making the complex functionality manageable through standardized processes and centralized control.
Solution Approach 2:
The system pre-classifies digital content into security categories and pre-determines the appropriate visual noise patterns for each category. This preliminary action allows the noise application process to be automated and streamlined, reducing the computational complexity and processing overhead during actual content display and camera capture prevention.
3Object-affected harmful factors
If visual noise is applied to digital content, then external camera capture effectiveness deteriorates, but implementation complexity increases
Solution Approach 1:
The patent employs visual noise techniques that modify the visual appearance of digital content through color alterations, pattern overlays, and distortion effects. These visual modifications make captured images from external cameras unusable while maintaining the original content's readability on the display device, effectively countering the harmful effect of unauthorized photography.
Data Source
AI summary
A system and/or a method for deterring data leakage through photographing of display screen by external camera. A digital content displayed on the digital device is detected, and a classification type of the digital content is identified. When the classification type is one of the predefined types, the user information associated with the digital device is obtained based on which a visual noise to be displayed on the digital device is fetched from database. The fetched visual noise is displayed along with the digital content to deter the leakage of information from the displayed digital content through an external image capturing device. The visual noise that is displayed comprises either or combination of: modifying, at least one character in the digital content with the visual noise or overlaying the visual noise on the at least one character in the digital content.