Business Compliance Detection of Smart Contracts in Electricity and Carbon Trading Scenarios

Business compliance in smart contracts for blockchain-based electricity and carbon trading (B-ECT) remains unexplored. We propose an automated Business Compliance Detection tool for smart contracts (BCDetection ) in B-ECT to address this gap. Our innovation encompasses the creation of a benchmark dataset containing both compliant and non-compliant smart contracts, coupled with the deployment of Agent-based Large Language Models (LLMs) to align smart contract codes with prevailing business regulations. The BCDetection tool employs a structured agent for compliance verification, including pre-judgment, feature extraction, fine-grained feature alignment, and consistency judgment. A case study demonstrates its effectiveness. As the field evolves, our approach shows promise for enhancing security and compliance.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/issrew63542.2024.00074
Citations
3
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
1.59

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article

Business Compliance Detection of Smart Contracts in Electricity and Carbon Trading Scenarios

Yin Wu, Haijun Wang, Ming Yu Fan, Hao Wu et al.
3 citations
FinTech, Crowdfunding, Digital Finance
1.59
article

Business Compliance Detection of Smart Contracts in Electricity and Carbon Trading Scenarios

Yin Wu, Haijun Wang, Ming Yu Fan, Hao Wu, Yuanhui Zhang, Ting Liu, Xiao Hui Li
article en
3 citations

Abstract

Business compliance in smart contracts for blockchain-based electricity and carbon trading (B-ECT) remains unexplored. We propose an automated Business Compliance Detection tool for smart contracts (BCDetection ) in B-ECT to address this gap. Our innovation encompasses the creation of a benchmark dataset containing both compliant and non-compliant smart contracts, coupled with the deployment of Agent-based Large Language Models (LLMs) to align smart contract codes with prevailing business regulations. The BCDetection tool employs a structured agent for compliance verification, including pre-judgment, feature extraction, fine-grained feature alignment, and consistency judgment. A case study demonstrates its effectiveness. As the field evolves, our approach shows promise for enhancing security and compliance.

Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Innovation Fund, Research and Development
Openalex Percentile: Top 12%
FinTech, Crowdfunding, Digital Finance
1.59
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Business Compliance Detection of Smart Contracts in Electricity and Carbon Trading Scenarios — Yin Wu, Haijun Wang, et al. · (2024) | TGRS Research Map | TGRS