Electronic Device Blockchain Hashing for Sensor Data Integrity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data transmission systems face challenges in managing increasing sensor loads and promptly responding to data anomalies due to events like lightning, electrostatic discharge, and electromagnetic noise, leading to potential data destruction and system malfunctions.
Innovation Solution
Implementing a blockchain technology-based electronic device with generation and processing units to append hash values as association information to data blocks, enabling distributed storage and management across multiple chips to detect and correct data anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data validation check processing is performed by CPU when data garbling occurs, then data integrity can be verified, but response time increases and CPU load increases
Solution Approach 1:
The patent applies preliminary action by pre-attaching hash values (first association information and second association information) to data blocks before transmission. When data garbling occurs, the receiving device can immediately perform validation checks using these pre-computed hash values without requiring CPU to compute them during the anomaly response, thus reducing response time while maintaining data integrity verification capability
Solution Approach 2:
The patent implements self-service by enabling the receiving device to autonomously perform data validation using the attached hash values and blockchain technology without requiring CPU intervention. The system validates data integrity through cryptographic verification of hash values against the blockchain ledger, allowing immediate detection and response to data garbling without increasing CPU load
2Ease of operation
If all sensor output information is centrally managed by a single or small number of CPUs, then data management is simplified, but CPU load increases significantly with increasing number and kind of sensors
Solution Approach 1:
The patent applies segmentation by dividing data management into distributed components: each sensor or sensor group generates its own data blocks with attached hash values, and multiple receiving devices independently validate data using blockchain technology. This distributes the processing load across multiple devices rather than concentrating it in a single CPU, reducing energy consumption while maintaining manageable data structures through standardized blockchain protocols
Solution Approach 2:
The patent introduces blockchain technology as an intermediary layer between sensors and receiving devices. The blockchain ledger serves as a decentralized mediator that stores and verifies hash values, enabling receiving devices to independently validate data integrity without direct CPU intervention. This intermediary structure simplifies data management through standardized verification protocols while distributing computational load across the network
3Speed
If data transmission is performed without additional validation mechanisms, then transmission speed is maintained, but data destruction risk increases due to lightning, electrostatic discharge, electromagnetic noise
Solution Approach 1:
The patent applies preliminary action by pre-computing and attaching first association information (hash value from previous data block) and second association information (hash value from current data block) to each data block before transmission. This allows receiving devices to immediately validate data integrity upon receipt without requiring additional processing time, maintaining transmission speed while providing robust protection against data destruction from lightning, electrostatic discharge, and electromagnetic noise through cryptographic verification
Data Source
AI summary
Systems and methods for reducing the risk of data destruction during data transmission are described herein. Based on sensor information, a data block generation unit generates a data block BD1, a data block BD2, and a data block BD3. A first processing unit generates second association information and appends it to the data block BD2 as first association information HD2. A second processing unit generates second association information including at least a hash value obtained from the data block BD2, and appends it to the data block BD2. A storage control unit executes control to correlate the data block BD2, to which the first association information HD2 and the second association information FT2 have been appended, to at least one other unit of data, including the data block BD1, using blockchain technology, and to store the data in a storage unit.