Blockchain Data Sharing Without Central Authentication
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Solution Overview
Problem
Current data distribution management systems often rely on central authentication entities and result in a significant data footprint on sharing computers, lacking a secure and efficient method for data sharing and storage across networks without a central authority.
Innovation Solution
A method utilizing a pure zero trust architecture for securely communicating and storing data among computing devices through a block chain system, where blocks are generated and managed without a central authentication entity, ensuring reduced data footprint and enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a central authentication entity is used to manage data distribution, then data security and control are improved, but system complexity and single points of failure increase
Solution Approach 1:
The patent extracts and removes the central authentication entity from the system, replacing it with a distributed blockchain network where authentication and data management are performed collectively by network nodes through consensus mechanisms, thereby eliminating the single point of failure while maintaining security
Solution Approach 2:
The patent segments the centralized authentication function into multiple distributed nodes across the network, with each node maintaining a copy of the blockchain and participating in consensus, thereby distributing trust and reducing system complexity associated with centralized control
2Adaptability or versatility
If data is shared across multiple computers in chains, then data distribution and accessibility are improved, but data footprint and storage requirements increase
Solution Approach 1:
The patent implements selective copying of data blocks across the network, where only relevant transaction data and cryptographic hashes are replicated rather than entire datasets, thereby enabling distributed accessibility while minimizing storage requirements through efficient data replication strategies
Solution Approach 2:
The patent segments data into discrete blocks linked through cryptographic hashes, allowing distributed storage where each node holds only the blocks relevant to its function, thereby reducing overall data footprint while maintaining network-wide accessibility through the chain structure
3Reliability
If blocks include multiple reference data portions and detailed transaction information, then data integrity and traceability are improved, but computational overhead and processing time increase
Solution Approach 1:
The patent applies preliminary hashing of data blocks before they are added to the chain, pre-computing cryptographic hashes and storing reference data portions in advance, thereby enabling rapid verification and maintaining data integrity without significant processing delays during transaction validation
Solution Approach 2:
The patent extracts only the essential cryptographic elements (hashes, references, and minimal transaction metadata) into each block, removing redundant detailed information from storage while maintaining integrity through cryptographic linking, thereby reducing processing overhead while preserving traceability
Data Source
AI summary
Described herein are various methods of sharing data across multiple computers. The method of sharing data permits the pruning of data from the shared data.