Simulation Data Management With Hash-Verified Ledger Registration
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Solution Overview
Problem
Existing data management systems using distributed ledger technology, such as blockchain, fail to prevent falsification of data during registration and registration of erroneous data in the ledger.
Innovation Solution
Implement a data management device that generates and verifies hash values using the same hash algorithm for data received from an external device, ensuring that only matching hash values allow data registration in the distributed ledger, thereby preventing falsification and erroneous data entry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed ledger technology is used to store data, then data reliability is improved, but data falsification at registration time and erroneous data registration cannot be prevented
Solution Approach 1:
The system performs preliminary hash value generation at the external device before data transmission. The external device generates a first hash value of the data and transmits it to the data management device, which then generates a second hash value and compares it with the first hash value. This preliminary action of generating and transmitting the hash value allows the system to detect data falsification and erroneous data registration before registration in the distributed ledger.
Solution Approach 2:
The system implements a feedback mechanism where the data management device receives the first hash value from the external device, generates a second hash value locally, and compares the two hash values. Based on this comparison feedback, the system determines whether to register the data in the distributed ledger. This feedback loop ensures that only genuine data is registered, preventing both falsification and erroneous data registration.
2Reliability
If hash value verification is implemented, then data integrity is improved, but system complexity increases
Solution Approach 1:
The external device performs self-service by generating its own first hash value before transmitting data to the data management device. This self-service approach allows the external device to prepare the data for verification independently, reducing the burden on the data management device and simplifying the overall system architecture while maintaining data integrity.
Solution Approach 2:
The system uses parameter changes by transforming the data into a hash value parameter. Instead of storing and verifying the original data directly, the system converts the data into a fixed-length hash value that can be efficiently compared. This parameter transformation simplifies the verification process and reduces computational complexity while ensuring data integrity.
Data Source
AI summary
The client device executes a simulation, and generates a data set including result data and metadata based on the execution result. The client device generates a first hash value of the data set and transmits the data set and the first hash value to the data management device. When the data set and the first hash value are received from the client device, the data management device generates a second hash value of the data set from the data set. The data management device decides to register the data set in the distributed ledger when the first hash value and the second hash value match each other.