Privacy-preserving energy trading using consortium blockchain in smart grid

Keke Gai; Yulu Wu; Liehuang Zhu; Meikang Qiu; Meng Shen

doi:10.1109/TII.2019.2893433

Privacy-preserving energy trading using consortium blockchain in smart grid

Keke Gai^*, Yulu Wu, Liehuang Zhu, Meikang Qiu, Meng Shen

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Contribution to journal › Article › peer-review

493 Citations (Scopus)

Abstract

Implementing blockchain techniques has enabled secure smart trading in many realms, e.g. neighboring energy trading. However, trading information recorded on the blockchain also brings privacy concerns. Attackers can utilize data mining algorithms to obtain users' privacy, specially, when the user group is located in nearby geographic positions. In this paper, we present a consortium blockchain-oriented approach to solve the problem of privacy leakage without restricting trading functions. The proposed approach mainly addresses energy trading users' privacy in smart grid and screens the distribution of energy sale of sellers deriving from the fact that various energy trading volumes can be mined to detect its relationships with other information, such as physical location and energy usage. Experiment evaluations have demonstrated the effectiveness of the proposed approach.

Original language	English
Article number	8613816
Pages (from-to)	3548-3558
Number of pages	11
Journal	IEEE Transactions on Industrial Informatics
Volume	15
Issue number	6
DOIs	https://doi.org/10.1109/TII.2019.2893433
Publication status	Published - Jun 2019

Keywords

Consortium blockchain
differential privacy
neighboring energy trading
privacy-preserving
smart grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TII.2019.2893433

Cite this

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title = "Privacy-preserving energy trading using consortium blockchain in smart grid",

abstract = "Implementing blockchain techniques has enabled secure smart trading in many realms, e.g. neighboring energy trading. However, trading information recorded on the blockchain also brings privacy concerns. Attackers can utilize data mining algorithms to obtain users' privacy, specially, when the user group is located in nearby geographic positions. In this paper, we present a consortium blockchain-oriented approach to solve the problem of privacy leakage without restricting trading functions. The proposed approach mainly addresses energy trading users' privacy in smart grid and screens the distribution of energy sale of sellers deriving from the fact that various energy trading volumes can be mined to detect its relationships with other information, such as physical location and energy usage. Experiment evaluations have demonstrated the effectiveness of the proposed approach.",

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AU - Gai, Keke

AU - Wu, Yulu

AU - Zhu, Liehuang

AU - Qiu, Meikang

AU - Shen, Meng

PY - 2019/6

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AB - Implementing blockchain techniques has enabled secure smart trading in many realms, e.g. neighboring energy trading. However, trading information recorded on the blockchain also brings privacy concerns. Attackers can utilize data mining algorithms to obtain users' privacy, specially, when the user group is located in nearby geographic positions. In this paper, we present a consortium blockchain-oriented approach to solve the problem of privacy leakage without restricting trading functions. The proposed approach mainly addresses energy trading users' privacy in smart grid and screens the distribution of energy sale of sellers deriving from the fact that various energy trading volumes can be mined to detect its relationships with other information, such as physical location and energy usage. Experiment evaluations have demonstrated the effectiveness of the proposed approach.

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Privacy-preserving energy trading using consortium blockchain in smart grid

Abstract

Keywords

UN SDGs

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