Drawing File Feature Matching for Reliable Security Protection
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Solution Overview
Problem
Existing security protection methods for drawing files in enterprise networks suffer from low reliability and accuracy due to false or missing recognition, as they rely solely on drawing names that can be modified, affecting access security.
Innovation Solution
A security protection method that involves parsing drawing files to extract feature information, matching it with a target feature information set, and performing security management based on the matching result to ensure accurate identification and protection of protected drawing files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If drawing names are used for security protection identification, then the method is simple to implement, but the reliability and accuracy are low due to false or missing recognition
Solution Approach 1:
The patent introduces feature information extraction as an intermediary mechanism between the drawing file and security protection identification. Instead of directly using drawing names, the system extracts feature information from drawing content and uses this intermediate representation for accurate identification, thereby resolving the contradiction between implementation simplicity and identification reliability
Solution Approach 2:
The patent replaces the mechanical/simple approach of using drawing names with an automated feature extraction system that analyzes drawing content semantically. This substitution of the identification mechanism from surface-level name matching to deep-content feature analysis significantly improves reliability while maintaining ease of use through automation
2Device complexity
If drawing names are used for security protection identification, then the system complexity is low, but the accuracy of protected drawing identification is insufficient
Solution Approach 1:
The patent segments the drawing file analysis into multiple independent feature extraction components, each analyzing specific aspects of the drawing content. This segmentation allows the system to achieve high identification accuracy through multiple analysis dimensions while keeping each individual component relatively simple, thus resolving the contradiction between system complexity and identification accuracy
Solution Approach 2:
The patent transitions from one-dimensional name-based identification to multi-dimensional feature-based identification by extracting features from different aspects of drawing content (such as geometric properties, semantic information, structural characteristics). This dimensional expansion enables accurate identification without proportionally increasing system complexity
3Reliability
If feature extraction and matching is performed on drawing files, then the reliability and accuracy of security protection is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs feature extraction and creates feature information databases in advance for protected drawing files. This preliminary action allows the system to store pre-extracted features and only perform matching operations when new drawings need to be identified, significantly reducing processing time during actual security checks while maintaining high reliability
Solution Approach 2:
The patent implements a feedback mechanism where the feature extraction and matching results are used to update the security protection status. The system learns from previous identifications and adjusts its feature extraction priorities, thereby reducing unnecessary processing time while maintaining high accuracy through iterative improvement
Data Source
AI summary
The present disclosure relates to the technical field of data security, and discloses a security protection method for a drawing file, an apparatus, a device, a medium, and a program product. The security protection method for a drawing file comprises: acquiring a first drawing file; acquiring a matching result of matching first feature information corresponding to the first drawing file with each second feature information in a target feature information set, where the first feature information is obtained by parsing the first drawing file to obtain description information of a target element in the first drawing file, and performing feature extraction on the obtained description information of the target element, and the target feature information set includes second feature information of at least one protected drawing file; and performing security protection management on the first drawing file based on the matching result.


