Hash Tree Verification for High-Throughput Database Transactions
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Solution Overview
Problem
Database management systems face challenges in maintaining high transaction throughput while providing cryptographic verification of transaction integrity, especially in ledger-based systems.
Innovation Solution
A ledger-based database management system uses a cryptographic hash tree structure to independently verify transaction integrity, allowing high throughput and large transaction volumes by storing transaction nodes in a hash tree and ensuring regions of the tree require minimal recalculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cryptographic verification is performed for each transaction to ensure integrity, then transaction security and reliability are improved, but transaction throughput and processing speed deteriorate
Solution Approach 1:
The patent segments the verification process by dividing transactions into batches and performing cryptographic verification at the batch level rather than for each individual transaction. The system maintains a hash tree structure where only certain root hashes need verification, allowing multiple transactions to be verified collectively, thus improving throughput while maintaining security.
Solution Approach 2:
The system performs preliminary cryptographic hashing of transaction data before full verification. By pre-computing hash values and organizing them in a tree structure, the system prepares verification data in advance, reducing the computational burden during actual transaction processing and enabling higher throughput.
2Reliability
If cryptographic hash tree structure is used to verify transaction integrity, then transaction security is improved, but system complexity increases
Solution Approach 1:
The hash tree structure serves multiple functions simultaneously: it provides cryptographic verification, maintains transaction ordering, enables efficient batch processing, and supports scalability. This multi-functionality reduces the need for separate security mechanisms, thereby managing complexity while enhancing reliability.
Solution Approach 2:
The patent transitions from linear transaction verification to a hierarchical tree structure, adding a dimensional aspect to verification. By organizing transactions in a tree with root, intermediate, and leaf nodes, the system enables parallel verification paths and reduces the complexity of sequential verification while maintaining security.
3Reliability
If all transaction nodes are stored and verified in the hash tree, then complete transaction history verification is improved, but storage and processing overhead increase
Solution Approach 1:
The system extracts only the essential verification elements (root hash and selected intermediate node hashes) from the complete transaction history. By storing and verifying only these critical hash values rather than all transaction data, the system reduces storage requirements and processing overhead while maintaining the ability to verify transaction integrity.
Solution Approach 2:
The patent implements partial verification by selecting specific nodes in the hash tree for verification rather than processing every single transaction node. This partial action approach verifies sufficient information to ensure integrity while reducing the quantity of data that must be stored and processed, optimizing the balance between reliability and resource consumption.
Data Source
AI summary
A database management system receives a request to perform a transaction. The database management system commits the transaction, and in response to committing the transaction, generates a cryptographic hash based on an attribute of the transaction. The cryptographic hash is stored in a leaf-region of a hash tree. In response to a request to verify the transaction, signatures are retrieved from the tree based on a traversal of the tree to locate the node corresponding to the transaction. The retrieved signatures are used to verify the transaction.