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PCN-Based Secure Energy Trading in Industrial Internet of Things

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1267))

Abstract

The application of blockchain cryptocurrency in the field of energy transactions has attracted wide attention because it supports complex communication interactions of a large number of distributed energy entities. Due to the high degree of autonomy of distributed systems, it is very important to use trusted encryption technology to ensure the security of user information in the network. In order to avoid the problem of user privacy leakage in the Peer-to-Peer (P2P) energy trading scheme in the Industrial Internet of Things (IIOT), this paper adopts the signature scheme based on Elliptic Curve Cryptography-based Threshold Cryptography (ECC-TC) to complete the anonymous process of energy nodes and ensure the traceability of pseudonyms. In addition, in order to solve the problem of transaction restrictions caused by high transaction costs and long confirmation time of energy block chain, we proposed a payment scheme based on payment channel network (PCN) to support fast and frequent small energy transactions. We conducted security analysis and feasibility assessment in the context of security and privacy protection requirements and the conclusion proves that proposed scheme enables peer to communicate anonymously in a P2P manner and quickly complete small energy transactions while using blockchain technology to protect basic transactions. In addition, the cost of communication and calculation of the scheme is much less than that of traditional transaction mode which proves that proposed scheme can be applied in practice.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grants no. 61662042, 61262081, and 61462056; the Yunnan Provincial Key Project of Applied Basic Research Plan under Grants no. 2014FA028.

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Correspondence to Yong Feng .

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Feng, Y., Xiao, Y., Li, D., Fu, X. (2020). PCN-Based Secure Energy Trading in Industrial Internet of Things. In: Zheng, Z., Dai, HN., Fu, X., Chen, B. (eds) Blockchain and Trustworthy Systems. BlockSys 2020. Communications in Computer and Information Science, vol 1267. Springer, Singapore. https://doi.org/10.1007/978-981-15-9213-3_24

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  • DOI: https://doi.org/10.1007/978-981-15-9213-3_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9212-6

  • Online ISBN: 978-981-15-9213-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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