Sensor Calibration Digital Certificate Signing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Ensuring the accuracy and trustworthiness of sensor readings from IoT devices, particularly in ensuring that the data is not manipulated during transmission to a blockchain system, and verifying the identity and calibration of these devices.
Innovation Solution
A computer-implemented method and sensor system that involves calibrating sensors, generating digital certificates, signing measurement values with a private key, and sending them with a public key for verification, ensuring that only calibrated sensors provide reliable data, and integrating this process with blockchain systems for end-to-end trusted environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is transmitted without digital signing and calibration verification, then network traffic is reduced and transmission is faster, but data integrity and source verification cannot be ensured
Solution Approach 1:
The sensor is calibrated and a digital certificate is generated before the sensor begins transmitting data. This preliminary calibration and certification process ensures that the sensor's identity and measurement accuracy are verified in advance, allowing subsequent data transmissions to be trusted without requiring complex real-time verification protocols.
Solution Approach 2:
A digital certificate acts as an intermediary between the sensor and the receiving system. The certificate, containing the sensor's public key and calibration information, serves as a trusted mediator that enables verification of data integrity and source authentication without requiring the receiving system to directly verify each measurement value.
2Measurement precision
If calibration information is stored and verified for each sensor, then measurement accuracy can be ensured, but device complexity and memory requirements increase
Solution Approach 1:
The calibration information is merged with the sensor's digital certificate in a single data structure. The certificate contains both the sensor's public key for authentication and the calibration parameters for measurement verification, combining identity verification and accuracy verification into one integrated component.
Solution Approach 2:
The digital certificate serves multiple functions simultaneously: it authenticates the sensor's identity, verifies the sensor's calibration status, and enables cryptographic signing of measurement data. This multi-functional approach eliminates the need for separate calibration storage and verification mechanisms.
3Reliability
If digital certificates are generated and stored for sensor authentication, then source verification is improved, but memory usage and initial setup complexity increase
Solution Approach 1:
The essential verification information (public key and calibration data) is extracted from the full sensor identity and embedded in a compact digital certificate. This certificate contains only the necessary elements for authentication and verification, excluding redundant information while maintaining verification capability.
Solution Approach 2:
The calibration information is transformed into a standardized certificate format with fixed parameters including expiration time, issuer identification, and cryptographic signatures. This parameter standardization enables efficient storage and verification while reducing the variable data volume compared to storing raw calibration datasets.
Data Source
AI summary
A computer-implemented method for certified sensor readings from a sensor can be provided. The method includes calibrating the sensor, generating a digital certificate, signing, by the sensor, a measurement value with its private key of a public/private key pair, and sending, by the sensor, the signed measurement value such that the sensor is identifiable via its public key and the related generated digital certificate.