Encrypted Subset Storage for Decentralized Medical Data
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Solution Overview
Problem
Current medical data storage systems require large local storage space and are susceptible to data loss due to power outages, disgruntled employees, hackers, and network management risks, lacking security and redundancy.
Innovation Solution
A decentralized data storage system that preprocesses data files into encrypted subsets, randomly distributes them to multiple remote servers, and requires a local encryption key for reconstruction, reducing local storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is stored locally in current medical data storage systems, then data access is straightforward, but large storage space is required and security vulnerabilities increase
Solution Approach 1:
The patent divides complete data files into multiple encrypted subsets and distributes them across different remote servers. This segmentation allows the system to store data decentralized without requiring large local storage space, while data can still be accessed by retrieving and reconstructing the necessary subsets from remote servers using the local encryption key.
2Ease of operation
If data is stored locally in current medical data storage systems, then data access is straightforward, but security risks increase due to power outages, hackers, and network management risks
Solution Approach 1:
By segmenting data into encrypted subsets stored across multiple remote servers, the system eliminates single points of failure. Local storage of only encryption keys (not actual data) protects against physical threats while maintaining data accessibility through remote reconstruction.
Solution Approach 2:
The patent introduces remote servers as intermediaries between the local system and stored data. These servers hold encrypted data subsets and require collaboration with the local encryption key to reconstruct meaningful information, creating a security buffer that protects against local threats while enabling data access.
3Device complexity
If data is stored locally, then no additional network infrastructure is needed, but redundancy and security against single location loss are insufficient
Solution Approach 1:
The patent segments data across multiple remote servers, creating inherent redundancy. If one server or location fails, data can still be reconstructed from remaining subsets at other locations, providing distributed redundancy without complex local networking.
Solution Approach 2:
The patent moves data storage from a single local dimension to a distributed multi-dimensional network architecture. Data subsets are stored across multiple remote servers at different locations, adding spatial distribution as a new dimension that provides both redundancy and security.
4Ease of manufacture
If current local storage systems are used, then implementation is simple, but the system lacks security and redundancy to safely store medical data
Solution Approach 1:
The patent implements a segmented storage architecture where data files are divided into encrypted subsets distributed across remote servers. This approach enhances security and redundancy while maintaining relatively simple implementation through standard encryption and file distribution techniques.
Data Source
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AI summary
A system and method for the decentrali2ed storage of data is provided that pre-processes data files to generate multiple subsets of encrypted data that includes randomly selected portions of data from different data files. The subsets of encrypted data are then transmitted to multiple remote servers that are randomly chosen for each subset of encrypted data. The local encryption key that was used to encrypt the data is required to reconstruct the data file. The system and method is particularly suited for the decentrali2ed storage of medical data.