Node Computing Data Encryption Matrix Dimension Control
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Solution Overview
Problem
Cloud computing technologies face challenges in ensuring the safety, integrity, and privacy of customer information due to data inflation caused by encryption, which increases storage requirements.
Innovation Solution
A data encryption method for cloud server systems that computes an encryption length and segments primary data into segments using an encrypted matrix, ensuring the dimension of the matrix satisfies specific conditions to control data inflation and store encrypted segments across multiple data storage centers, maintaining a tolerance range for inflation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is encrypted to prevent theft, then security is improved, but data size increases requiring more storage space
Solution Approach 1:
The patent divides the original data into multiple data segments before encryption. Each segment is encrypted separately using an encrypted matrix, allowing the system to manage and store encrypted data in a segmented manner that reduces overall storage requirements while maintaining security.
Solution Approach 2:
The patent changes the encryption parameters by using an encrypted matrix with specific dimensional constraints (n×n where n≤r and n×n≤d) and applying modular arithmetic operations. This parameter optimization controls the expansion ratio of encrypted data, ensuring that the encrypted data size remains within acceptable limits while still providing adequate security protection.
2Reliability
If encryption matrix dimension is increased to improve security, then encryption strength is improved, but data inflation increases
Solution Approach 1:
The patent establishes specific parameter relationships for the encryption matrix dimension n, requiring that n≤r (where r is the number of data segments) and n×n≤d (where d is the data basis). These parameter constraints ensure that the matrix dimension is optimized to provide sufficient encryption strength while minimizing data inflation during the encryption process.
Solution Approach 2:
The patent uses a partial encryption approach where not all data bits are encrypted using the full matrix capacity. Instead, the encryption is applied to data segments with controlled matrix dimensions that provide adequate security without excessive encryption overhead, achieving a balance between security and data size management.
Data Source
AI summary
A data encryption method, adapted to a node computing device in a cloud server system comprises following steps. A primary data is received. A dimension of an encrypted matrix is computed. An encryption length is computed, and data segments matching the encryption length are extracted from the primary data sequentially according to the encryption length. A plurality of encrypted segments is obtained by encrypting the extracted data segments respectively through the encrypted matrix.