Cloud Backup System Sensitive Data Exclusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data backup solutions indiscriminately backup files based on selection, ignoring content, leading to security risks and impractical user selection processes, especially in cloud storage where users lack control over sensitive data.
Innovation Solution
A method and system that analyze data file contents to identify and exclude sensitive information from backup operations, using predefined exclusion features such as confidential information, facial recognition, and geographic locations, allowing selective data backup and enhanced security on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic backup systems backup all files indiscriminately, then backup completeness is improved, but security risk increases due to inclusion of sensitive data
Solution Approach 1:
The system performs preliminary analysis of file contents before initiating backup operations. It scans files for sensitive information patterns (personal identifiers, financial data, health information) and pre-identifies files containing such data, then excludes them from backup before the actual backup process occurs.
Solution Approach 2:
The system extracts and identifies sensitive data elements from files by analyzing content patterns. Once sensitive information is detected within a file, the system separates that file from the backup set, effectively taking out problematic elements before they can compromise security.
2Object-affected harmful factors
If users manually select files for backup, then privacy control is improved, but operational complexity increases
Solution Approach 1:
The system performs automatic classification and selection of files for backup without requiring user intervention. It autonomously analyzes file contents, identifies sensitive information, and determines which files should be excluded from backup, making the system self-serve the privacy protection function.
Solution Approach 2:
The system introduces an intermediary automated classification layer between the user and the backup process. This intermediary automatically analyzes files and makes privacy-based selection decisions, mediating between complete automation and user control needs.
3Object-affected harmful factors
If backup systems analyze file contents to identify sensitive data, then privacy protection is improved, but processing time increases
Solution Approach 1:
The system performs partial content analysis by scanning only specific portions of files or looking for specific patterns rather than analyzing every byte of every file. It uses targeted pattern matching for known sensitive data formats rather than comprehensive content review.
Solution Approach 2:
The system changes the analysis parameters by using pattern matching and keyword-based detection rather than deep content analysis. It adjusts the scrutiny level based on file types and uses predefined patterns for sensitive data formats to reduce processing requirements.
Data Source
AI summary
Backing up electronic data files excluding confidential data. An electronic trigger event for initiating a data backup operation is detected. Data files are identified for backup. One or more files, or parts of a file, are designated for exclusion from the backup process. The backup process initiates a backup operation of one or more files, excluding the designated files.