Context-Based Electronic Marking for Document Access Control
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Solution Overview
Problem
Existing solutions fail to effectively prevent unauthorized access to confidential information and identify users who leak such information, as they primarily focus on confidentiality marks without addressing document distribution or user accountability.
Innovation Solution
A system that assigns context-based electronic marks to documents, monitors access activity, and enforces access rules to deny unauthorized access, while also tracking and identifying users who disclose confidential information through features like containerization, text unicalization, and tracker modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If confidentiality marks are placed on documents, then document classification is achieved, but unauthorized distribution and user identification capabilities are lost
Solution Approach 1:
The electronic mark is segmented into multiple functional components: identification data (for classifying document confidentiality levels), tracking data (for monitoring distribution and identifying users), and control data (for enforcing access permissions). This segmentation allows each component to serve its specific function while working together to resolve the contradiction between protection and traceability.
Solution Approach 2:
The electronic mark system performs multiple functions simultaneously: it classifies documents by confidentiality level, tracks distribution paths, identifies responsible users, and enforces access control. This multi-functionality eliminates the need for separate systems for each purpose, resolving the contradiction by making the mark system versatile enough to handle both protection and identification tasks.
2Reliability
If access control is implemented, then unauthorized access is prevented, but user identification for leak tracking is not achieved
Solution Approach 1:
The system implements feedback mechanisms where the electronic mark continuously tracks document access and distribution. When a document is accessed or distributed, the tracking data records the user identity and transmission path, providing feedback that enables leak source identification while maintaining access control reliability.
Solution Approach 2:
The electronic mark is assigned to the document before any access or distribution occurs. This preliminary action ensures that tracking data is already in place to identify users and trace distribution paths, enabling leak tracking capability to be established before any unauthorized actions take place.
3Measurement precision
If manual mark assignment is used, then mark accuracy is achieved, but processing efficiency and real-time monitoring are reduced
Solution Approach 1:
The system enables automatic assignment of electronic marks based on predefined classification rules and document metadata. The mark assignment process serves itself by automatically analyzing document properties and applying appropriate marks without manual intervention, thereby maintaining accuracy through consistent rule application while dramatically improving processing efficiency.
Solution Approach 2:
The system changes the parameters of mark assignment from manual input to automated parameter analysis. By analyzing document parameters such as content, metadata, and classification tags, the system automatically determines the appropriate electronic mark to assign, achieving both precision through systematic analysis and productivity through automation.
4Loss of information
If comprehensive monitoring is implemented, then leak detection capability is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system merges leak detection functionality directly into the electronic mark structure itself. The tracking data within the mark serves as both the classification identifier and the leak detection mechanism, eliminating the need for separate complex monitoring systems. This combining approach improves leak detection while reducing overall system complexity.
Data Source
AI summary
A method for protecting documents includes assigning electronic marks to a document. The marks are assigned based on a context of the document. Access activity with respect to the document is monitored continuously. In response to receiving a request from a user to access the document, permissions to access the document are checked by analyzing metadata of the document and access rules are analyzed. In response to determining that the marks are not included in the list of permitted marks for the user requesting the access to the document, access to the document is denied and a notification to a server is sent indicating an attempted unauthorized access to the document. Attributes of the marks are analyzed, in response to determining that the marks are included in the list of permitted marks. Access to the document is provided in accordance with the attributes of the marks.


