Dongnhui Hu
- Professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (English):Dongnhui Hu
- Name (Pinyin):hdh
- School/Department:计算机与信息学院
- Administrative Position:教授
- Education Level:With Certificate of Graduation for Doctorate Study
- Degree:Doctoral degree
- Professional Title:Professor
- Status:Employed
- Alma Mater:武汉大学
- Teacher College:计算机与信息学院(人工智能学院)
- Discipline:Other specialties in Computer Science and Technology
Contact Information
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- Paper Publications
Blockchain-enabled Secure Energy Trading with Verifiable Fairness in Industrial Internet of Things
Release time:2022-03-21 Hits:
- DOI number:10.1109/TII.2020.2974537
- Journal:IEEE Trans. Industrial Informatics (TII)
- Abstract:Energy trading in Industrial Internet of Things (IIoT), a fundamental approach to realize Industry 4.0, plays a vital role in satisfying energy demands and optimizing system efficiency. Existing research works utilize a utility company to distribute energy to energy nodes with the help of energy brokers. Afterwards, they apply blockchain to provide transparency, immutability, and auditability of peer-to-peer (P2P) energy trading. However, their schemes are constructed on a weak security model and do not consider the cheating attack initiated by energy sellers. Such an attack refers to an energy seller refusing to transfer the negotiated energy to an energy purchaser who already paid money. In this article, we propose FeneChain, a blockchain-based energy trading scheme to supervise and manage the energy trading process toward building a secure energy trading system and improving energy quality for Industry 4.0. Specifically, we leverage anonymous authentication to protect user privacy, and we design a timed-commitments-based mechanism to guarantee the verifiable fairness during energy trading. Moreover, we utilize fine-grained access control for energy trading services. We also build a consortium blockchain among energy brokers to verify and record energy trading transactions. Finally, we formally analyze the security and privacy of FeneChain and evaluate its performance (i.e., computational costs and communication overhead) by implementing a prototype via a local Ethereum test network and Raspberry Pi.
- Indexed by:Journal paper
- Discipline:Engineering
- Document Type:J
- Volume:16
- Issue:10
- Page Number:6564-6574
- Translation or Not:no
- Date of Publication:2020-02-17