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Graph-Based Profiling of Blockchain Oracles
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DOI：10.1109/ACCESS.2023.3254535.png)
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摘要
En 中文
The usage of blockchain technology has been significantly expanded with smart contracts and blockchain oracles. While smart contracts enables to automate the execution of an agreement between untrusted parties, oracles provide smart contracts with data external to a given blockchain, i.e., off-chain data. However, the validity and accuracy of such off-chain data can be questionable that compromises the transparency and immutability chacteristics of blockchain. Despite many studies on the trustworthiness of blockchain oracles, more precisely, off-chain data, their solutions are often 'short-sighted' and dependent on binary decisions. In this paper, we present a novel graph-based profiling method to determine the trustworthiness of blockchain oracles. We construct a graph with oracles as nodes and cumulative average discrepancies of validity and accuracy of data as edge weights. Our profiling method continues to update the graph, edge weights in particular, to distinguish trustworthy oracles. Clearly, this discourages the provision of false and inaccurate data. We have conducted an evaluation study to see the effectiveness of our proposed method, in which we have run the experiments utilizing the Ethereum network. Additionally, we have also calculated the cost of running these experiments. Consequently, our experiment results show that the proposed method achieves around 93% accuracy in identifying the trustworthiness of data sources.
Keyword:
Blockchains
Soft sensors
Smart contracts
Costs
Internet of Things
Decentralized applications
Security
Distributed ledgers
The blockchain oracle problem
smart contracts
distributed ledger technology
Ethereum
decentralized applications
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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