Automated Data Protection Strategy Assignment via Object Feature Classification
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Solution Overview
Problem
Current data protection systems face challenges in efficiently managing and organizing a large number of protection objects due to cumbersome manual processes, reliance on correct naming and marking, and difficulty in identifying objects with similar features, leading to potential omissions and inefficiencies in data protection strategy implementation.
Innovation Solution
A data protection scheme that determines object features for each protection object and uses a classification model to identify candidate objects with similar features, allowing for automatic configuration of data protection strategies and efficient data protection by recommending potential objects to be protected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used to manage and organize protection objects, then users can directly control data protection strategies, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs automatic classification of protection objects by analyzing object features and determining candidate objects that belong to the same class, eliminating the need for manual organization and strategy assignment. The system serves itself by automatically identifying which objects should receive which protection strategies based on their characteristics.
Solution Approach 2:
The system changes the approach from manual categorical organization to automated feature-based classification. By extracting and analyzing object features (parameters) and using them to determine candidate objects, the system transforms the strategy assignment process from labor-intensive manual work to efficient automated parameter-based matching.
2Measurement precision
If users manually identify and organize protection objects by name and mark, then precise control is achieved, but correctness depends on user accuracy and objects with similar features may be missed
Solution Approach 1:
The system introduces object features as an intermediary between the protection objects and the classification process. Instead of relying directly on user interpretation of names and marks, the system extracts objective features from objects and uses these as the basis for determining candidate objects, ensuring both accuracy and completeness.
Solution Approach 2:
The system replaces the mechanical manual process of identifying and organizing objects with an automated feature-based classification mechanism. By substituting human judgment with systematic feature extraction and analysis, the system achieves more consistent and reliable identification of all objects that should be protected.
3Productivity
If a classification model is used to identify candidate objects automatically, then efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the complex task of data protection strategy management into distinct components: feature extraction, candidate object determination, and strategy assignment. By dividing the overall process into these manageable segments, the system achieves high productivity while keeping each component's complexity可控.
Solution Approach 2:
The classification model serves multiple functions: it identifies candidate objects, determines their class membership, and enables automatic strategy assignment. This multi-functionality reduces the need for separate systems for each task, thereby improving productivity without proportionally increasing overall system complexity.
Data Source
AI summary
Embodiments of the present disclosure provide a data protection method, an electronic device, and a computer program product. The method includes determining an object feature for each protection object in a set of protection objects that generate protected data, the set of protection objects including at least one protection object configured with a predetermined data protection strategy. The method further includes determining a set of candidate objects belonging to the same class as the at least one protection object from the set of protection objects according to the determined object features. The method further includes configuring the predetermined data protection strategy to at least one candidate object in the set of candidate objects.