Backup Data Installation Generation with Confidential Information Deletion
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Solution Overview
Problem
Conventional methods for deploying backup data to new information processing apparatuses often retain confidential information, including personal data, which can lead to leaks even after attempted deletion, as they do not effectively manage and conceal sensitive information during the data transfer process.
Innovation Solution
An information processing apparatus and method that manages backup data to generate installation data by deleting confidential information based on the request origin's association with the apparatus, ensuring secure provision of data by controlling access and concealment of sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If backup data is retained as is during deployment, then data completeness is maintained, but confidential information leakage risk increases
Solution Approach 1:
The system performs preliminary identification and deletion of confidential information in backup data before the data is deployed to new apparatuses. By proactively removing sensitive information such as address books and personal data during the backup data preparation stage, the system ensures that confidential information cannot be leaked during subsequent deployment operations, while still preserving necessary operational data for complete functionality
Solution Approach 2:
The system extracts and removes specific confidential information components from the backup data while retaining the rest of the data structure. This selective extraction allows the system to separate sensitive information (such as personal data and address books) from functional settings, deleting only the confidential portions while maintaining data completeness for operational purposes
2Object-affected harmful factors
If confidential information is deleted in backup data conversion processing, then security is improved, but data completeness deteriorates
Solution Approach 1:
The system applies different quality treatments to different parts of the backup data: confidential information portions are deleted for security, while non-confidential functional settings are preserved for data completeness. This localized differential treatment allows simultaneous achievement of security requirements and data completeness, as each data component receives appropriate processing based on its sensitivity and functional importance
3Adaptability or versatility
If backup data is provided to multiple request origins, then data reusability increases, but access control complexity increases
Solution Approach 1:
The system creates a universal processing mechanism that handles backup data provision to multiple different request origins through a single standardized approach. By implementing a general-purpose deletion and provision system that works for any request origin, the system enables high data reusability across multiple apparatuses while avoiding the need for complex origin-specific access control configurations
Data Source
AI summary
An information processing apparatus manages backup data that can be used as installation data and receives a request from an external apparatus. Also, the present information processing apparatus, in a case where the received request is a request for acquiring backup data, generates, by using the backup data, the installation data to be provided based on information associated with the request origin and information associated with the acquisition origin of the backup data. Wherein the installation data is generated by deleting, as necessary, information to be concealed in the managed backup data.