File Movement Tracking via Content Identifiers
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Solution Overview
Problem
Enterprises face challenges in detecting and tracking the movement of sensitive files within their network environments, as existing methods lack automation, making it difficult to identify unauthorized access or theft, which can lead to significant delays in detection and mitigation.
Innovation Solution
A system and method for tracking file movement in a network environment by generating a unique content identifier, such as a hash or file fingerprint, and associating it with access metadata, which is then stored centrally, allowing for real-time monitoring and forensic analysis of file access activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual processes are used to detect and track file movement, then detection accuracy can be maintained through human analysis, but the detection time becomes unacceptably long and productivity is reduced
Solution Approach 1:
The system performs preliminary actions by generating content identifiers and associating them with files before any potential theft occurs. This pre-establishment of tracking mechanisms enables automatic detection without manual intervention when files are accessed or moved, resolving the contradiction by automating the detection process while maintaining accuracy through pre-configured identification systems.
Solution Approach 2:
The system creates a digital copy or representation of the file's content identifier rather than manually analyzing the actual file. This copying approach enables automatic tracking and detection of file movement through metadata and identifiers, significantly reducing detection time while maintaining the ability to accurately identify and track files without requiring manual human analysis.
2Reliability
If no tracking system is implemented, then device complexity is minimized, but the ability to detect and respond to data theft is severely limited
Solution Approach 1:
The system segments the file tracking function into separate, manageable components: content identifier generation, metadata association, and centralized storage. This segmentation reduces overall system complexity by breaking down the detection capability into modular elements that can be implemented and maintained independently, while still providing comprehensive file tracking and detection capabilities.
Solution Approach 2:
The system introduces content identifiers as an intermediary element between the actual files and the tracking system. Rather than directly monitoring and analyzing file contents, the system tracks these identifier representations, which simplifies the complexity of the tracking mechanism while maintaining reliable detection capability. The intermediary identifiers serve as proxies that enable efficient monitoring without requiring complex direct file analysis.
3Measurement precision
If comprehensive file access monitoring is implemented, then detection precision is improved, but the complexity of operation and data management increases
Solution Approach 1:
The system implements self-service by automatically generating content identifiers, associating them with files, and storing the metadata without requiring manual configuration or intervention. This automation maintains high detection precision through comprehensive tracking while simplifying operation, as the system performs these tasks autonomously without burdening users with complex manual data management requirements.
Data Source
AI summary
File access in a network environment by detecting when files have been accessed at a computers in the network environment, and then generating unique content identifiers of the file content. The content identifier along with access metadata can be transmitted to and stored at a central location. The stored information can be used to track file content movement in the network environment.