DecTest: A Decentralised Testing Architecture for Improving Data Accuracy of Blockchain Oracle

TL;DR

DecTest introduces a decentralized testing architecture with a novel verification mechanism and incentive system to significantly improve data accuracy in blockchain oracles, addressing security and honesty issues among oracle nodes.

Contribution

The paper proposes a new decentralized testing framework with a secret verification mechanism and reputation-based incentives to enhance data accuracy in blockchain oracles.

Findings

Reduced data entropy by 61.4%

Improved data accuracy and reliability

Enhanced node monitoring and verification

Abstract

Blockchain technology ensures secure and trustworthy data flow between multiple participants on the chain, but interoperability of on-chain and off-chain data has always been a difficult problem that needs to be solved. To solve the problem that blockchain systems cannot access off-chain data, oracle is introduced. However, existing research mainly focuses on the consistency and integrity of data, but ignores the problem that oracle nodes may be externally attacked or provide false data for selfish motives, resulting in the unresolved problem of data accuracy. In this paper, we introduce a new Decentralized Testing architecture (DecTest) that aims to improve data accuracy. A blockchain oracle random secret testing mechanism is first proposed to enhance the monitoring and verification of nodes by introducing a dynamic anonymized question-verification committee. Based on this, a comprehensive evaluation incentive mechanism is designed to incentivize honest work performance by evaluating nodes based on their reputation scores. The simulation results show that we successfully reduced the discrete entropy value of the acquired data and the real value of the data by 61.4%.