Image Data Loss Prevention via OCR Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data loss prevention systems are ineffective in identifying and preventing data loss from images, particularly screenshots and other graphical data, which can contain confidential information, and are easily circumvented by various techniques.
Innovation Solution
A system and method that identifies images for predetermined data, including confidential information, and performs actions to prevent data loss by analyzing and fingerprinting image data, comparing it against known confidential data, and taking preventive measures such as blocking communication or notification, regardless of the image creation method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data loss prevention systems only identify and analyze text-based data, then the systems can operate with simpler technology, but they fail to detect confidential data hidden in images such as screenshots
Solution Approach 1:
The patent introduces an intermediary component (image analysis module with OCR capabilities) that bridges the gap between text-based DLP systems and image-based confidential data detection. This intermediary extracts and analyzes text from images, enabling the system to detect confidential data in screenshots without requiring complete system redesign.
Solution Approach 2:
The patent enhances the DLP system to perform multiple functions: traditional text-based data analysis and new image-based confidential data detection. By making the system universal and multi-functional, it can handle both text files and images containing confidential information through integrated analysis capabilities.
2Reliability
If data loss prevention systems disable predefined user input commands to prevent image creation, then confidential data in images may be protected, but users can easily circumvent these measures using alternative techniques
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors and analyzes images created through various methods, providing continuous detection and prevention. Rather than relying solely on blocking commands, the system uses feedback from image analysis to identify and prevent data loss, maintaining both security and operational flexibility.
Solution Approach 2:
The patent performs preliminary analysis of images before they are transmitted or stored, identifying confidential data in advance. This preliminary action allows the system to prevent data loss proactively rather than reactively, maintaining security while allowing legitimate image creation and sharing.
3Reliability
If the system analyzes all images for confidential data, then data loss prevention is enhanced, but the processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by analyzing only specific regions or portions of images that are likely to contain confidential data, rather than processing every pixel uniformly. This selective approach maintains high detection effectiveness while reducing overall processing time and computational overhead.
Solution Approach 2:
The patent implements continuous monitoring and analysis of image data streams, processing images as they are generated or transmitted rather than batch processing. This continuous action ensures timely detection of confidential data while optimizing resource utilization through efficient processing pipelines.
Data Source
AI summary
A system, method, and computer program product are provided for preventing data loss associated with an image. In use, an image is identified, and it is determined whether the image includes predetermined data. In addition, an action is performed based on the determination, for preventing data loss.