A Trustworthy and Consistent Blockchain Oracle Scheme for Industrial Internet of Things

TL;DR

This paper introduces a secure and reliable blockchain oracle scheme for the Industrial Internet of Things, enhancing data quality and consistency through novel node selection and data filtering algorithms.

Contribution

It presents a new oracle node selection method using VRF and reputation, and a data filtering approach to improve data quality in IIoT applications.

Findings

Significantly improves oracle service quality.

Enhances data consistency with sliding window filtering.

Ensures security through formal analysis.

Abstract

Blockchain provides decentralization and trustlessness features for the Industrial Internet of Things (IIoT), which expands the application scenarios of IIoT. To address the problem that the blockchain cannot actively obtain off-chain data, the blockchain oracle is proposed as a bridge between the blockchain and external data. However, the existing oracle schemes are difficult to solve the problem of low quality of service caused by frequent data changes and heterogeneous devices in IIoT, and the current oracle node selection schemes are difficult to balance security and quality of service. To tackle these problems, this paper proposes a secure and reliable oracle scheme that can obtain high-quality off-chain data. Specifically, we first design an oracle node selection algorithm based on Verifiable Random Function (VRF) and reputation mechanism to securely select high-quality nodes. Second, we propose a data filtering algorithm based on a sliding window to further improve the consistency of the collected data. We verify the security of the proposed scheme through security analysis. The experimental results show that the proposed scheme can effectively improve the service quality of the oracle.