Zero-Trust Blockchain Data Pruning for Decentralized Sharing
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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 storage and management across networks without a central authority.
Innovation Solution
A method utilizing a pure zero trust architecture for securely communicating and storing data across a network of 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 the need for trusted third parties increase
Solution Approach 1:
The patent extracts the authentication function from a central entity and distributes it across all network participants through cryptographic verification. Each node independently verifies transaction validity using digital signatures and consensus algorithms, eliminating the need for a central authentication server while maintaining security.
Solution Approach 2:
The system enables nodes to autonomously verify and validate transactions without external authentication. Through self-organizing consensus mechanisms, the network collectively maintains security and integrity, with each participant contributing to the authentication process through their computational work and verification efforts.
2Adaptability or versatility
If data is shared across multiple computers in chains, then data distribution and accessibility are improved, but data footprint on sharing computers increases
Solution Approach 1:
The patent segments the data distribution system into discrete blocks linked in a chain structure. Each block contains a subset of transaction data and cryptographic references, allowing the network to distribute and manage data in manageable units rather than replicating entire datasets across all nodes, thereby reducing individual footprint while maintaining distribution.
Solution Approach 2:
The system transitions from horizontal data replication across all nodes to a vertical chain structure where data is organized in sequential blocks. This dimensional reorganization allows the network to maintain data accessibility and distribution while reducing redundant storage, as each node only needs to store and verify the chain structure rather than complete data copies.
3Loss of information
If blocks include detailed transaction information, then transaction transparency and traceability are improved, but block size and storage requirements increase
Solution Approach 1:
The patent uses cryptographic hashing to create compact representations of transaction data. Instead of storing full transaction details in every block, the system stores hash values that serve as unique identifiers and verification keys. This allows the network to maintain complete transaction transparency through the hash chain while keeping individual block sizes manageable.
Solution Approach 2:
The system transforms detailed transaction information into condensed cryptographic parameters (hash values, digital signatures, merkle roots). This parameter transformation preserves the essential verification and transparency functions while dramatically reducing the storage space required in each block, allowing the network to scale more efficiently.
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.