Smart Silo Secure Data Injection
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Solution Overview
Problem
Computing devices face challenges in verifying the accuracy of data shared between them, leading to doubts about the reliability of information exchanged, as they cannot ascertain how the data from other devices was obtained.
Innovation Solution
A secure distributed computing system is implemented, which includes a smart silo that characterizes objects using sensors, verifies the identity of the smart silo, and executes smart contracts based on trigger conditions, ensuring the accuracy and reliability of data injected into the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is shared between computing devices, then information exchange capability is improved, but data accuracy verification becomes difficult
Solution Approach 1:
The patent introduces smart silos as intermediary devices between object suppliers and the distributed computing system. These smart silos characterize objects using sensors and provide verified data to the blockchain system, acting as a trusted mediator that ensures data accuracy while enabling information exchange. The smart silo verifies object characteristics and provides cryptographically signed data, resolving the contradiction between sharing data and verifying its accuracy.
2Reliability
If distributed computing system verifies data sources, then data reliability is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service verification mechanisms where smart silos automatically characterize objects using integrated sensors and generate cryptographically signed data without requiring manual verification. The distributed computing system automatically verifies credentials and executes smart contracts based on trigger conditions, reducing the need for complex manual verification processes while maintaining high data reliability.
3Productivity
If smart contracts are executed automatically, then transaction efficiency is improved, but security requirements increase
Solution Approach 1:
The patent implements preliminary verification of smart silo credentials and object characteristics before smart contract execution. The system verifies the smart silo's identity and validates object traits against smart contract requirements in advance, ensuring security conditions are met before automatic execution. This preliminary action enables efficient automated transactions while maintaining high security standards through pre-verification mechanisms.
Data Source
AI summary
A method for injecting data into a secure distributed computing system includes obtaining characteristics of an object via a secure operable connection from a smart silo. The method further includes verifying an identity of the smart silo based on credentials included in a message from the smart silo received via the secure operable connection. The methods further includes making a determination that the characteristics match a trigger condition of a smart contract. The method further includes executing the smart contract in response to the determination.