Journal
SWARM AND EVOLUTIONARY COMPUTATION
Volume 64, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.swevo.2021.100891
Keywords
Energy trading; Blockchain; Privacy protection; Internet of things (IoTs)
Funding
- Natural Science Foundation of Guangdong Province, China [2018A030310030]
- Foundation for Distinguished Young Talents in Higher Education of Guangdong, China [2017GkQNCX059]
- Special funds for Shenzhen Strategic Emerging Industries and Future Industrial Development [20170502142224600]
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This paper introduces a secure energy trading method based on blockchain and homomorphic encryption technology to protect user privacy. By integrating various technologies, a more secure energy trading IoT system has been implemented.
Energy trading technology based on Internet of Things (IoTs) is one of the research hotspots. However, in the process of energy trading, it is easy to leak the user's personal privacy. In order to solve the problem of privacy leakage in the energy trading IoT system, we explore a secure energy trading method based on blockchain technology and homomorphic encryption technology. Firstly, we propose a homomorphic encryption method for blockchain system. Secondly, we propose a privacy protection method based on blockchain architecture. Finally, we propose an energy trading IoT system based on blockchain. By integrating homomorphic encryption, blockchain and other technologies, we have implemented a secure energy trading system. Compared with other similar systems, our energy trading IoT system based on blockchain can provide more secure user services. In addition, our system can better protect the privacy of users.
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