Decentralized Transaction System Data Integrity via Multi-Device Verification
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Solution Overview
Problem
In decentralized transaction systems, entries can be compromised by faulty devices or external influences, leading to data integrity issues and disputes over the truth value of information, especially when used as proof for third-party responsibility.
Innovation Solution
Assigning additional devices to document ambient variables and conditions, storing this data in the decentralized system or a central location, with checksums and memory locations noted, to create a tamper-proof and chronological record, and enabling digital contracts for service invoicing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single device stores data in a decentralized transaction system, then the system maintains simplicity and directness, but the data integrity and truth value are compromised due to potential faulty devices or external influences
Solution Approach 1:
The patent divides the data storage function across multiple independent devices (first device, second device, third device) rather than relying on a single device. Each device independently stores a portion of the data or provides independent verification, so that if one device is faulty or compromised, the overall data integrity remains intact. This segmentation of the storage function resolves the contradiction by maintaining system simplicity while improving reliability through distributed storage.
Solution Approach 2:
The patent introduces additional devices as intermediaries that verify and confirm data stored by the first device. The second and third devices act as intermediaries that independently check the data and provide confirmation entries in the decentralized transaction system. This intermediary mechanism ensures data integrity without requiring complex manual verification processes, resolving the contradiction between system simplicity and data reliability.
2Reliability
If additional devices are assigned to document conditions and store data, then data integrity and truth value are improved, but the system complexity increases
Solution Approach 1:
The patent implements self-service by allowing devices to automatically document conditions and store data in the decentralized transaction system without requiring manual intervention. The first device automatically stores data, the second device automatically verifies and stores confirmation entries, and the third device automatically provides additional verification. This automation resolves the contradiction by improving data integrity through multiple verification mechanisms while avoiding the complexity of manual verification processes.
Solution Approach 2:
The patent changes the parameter of data storage from single-point storage to multi-point distributed storage. By transforming the storage architecture from a single-device system to a multi-device system where each device stores specific data portions or verification entries, the system achieves improved data integrity without proportionally increasing operational complexity. The parameter change from centralized to distributed storage resolves the contradiction effectively.
3Measurement precision
If manual intervention is used to verify data, then data accuracy can be ensured, but the process becomes time-consuming and less efficient
Solution Approach 1:
The patent replaces manual verification mechanisms with automated digital verification mechanisms. Instead of human operators manually checking data accuracy, the system uses automated processes where the second and third devices automatically verify data stored by the first device and record verification entries in the decentralized transaction system. This substitution of mechanical/manual verification with automated digital verification resolves the contradiction by ensuring data accuracy while eliminating time-consuming manual intervention.
Solution Approach 2:
The patent implements continuous automated verification where the second and third devices continuously monitor and verify data stored by the first device. The verification process is ongoing and automatic, ensuring data accuracy is maintained without interruption or manual intervention. This continuous useful action resolves the contradiction by maintaining high data accuracy while avoiding the time loss associated with periodic manual checks.
Data Source
AI summary
A method for checking a situation in a decentralized transaction system. The method includes the following features: the situation is recognized by a first device in the transaction system, the situation is recorded by the first device with the aid of the transaction system, additional devices in the transaction system are prompted by the first device to detect particular data, the data are detected by the additional devices, The detected data are recorded by the additional devices with the aid of the transaction system and the situation is confirmed or disconfirmed in the transaction system based on the recorded data.