Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid

By Keke Gai, Yulu Wu, Liehuang Zhu, Meikang Qiu, Meng Shen. IEEE Transactions on Industrial Informatics, 2019

474 citations recorded by the source corpus.

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.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/b85b07a7dff794d5256000ccad658d51ec7ef759

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ming Ding
2. Dinh C. Nguyen
3. Yan Zhang

In Control and Systems Engineering

1. Adam Hahn
2. Jianhui Wang
3. Yan Zhang
4. Pubudu N. Pathirana

In Information Systems

1. Dinh C. Nguyen
2. Pubudu N. Pathirana
3. Ming Ding
4. Aruna Prasad Seneviratne
5. Liehuang Zhu
6. Keke Gai
7. Yulu Wu
8. Lei Xu

Citations in the corpus

• Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks (2019, background): “a reinforcing party, blockchain technique further avoided a few critical security and privacy concerns due to its decentralized features [22].”
• Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, background): “A privacy-preserved scheme empowered by blockchain is also considered and discussed in [202].”
• Blockchain Meets Cloud Computing: A Survey (2020, background): “Our recent study [13] also finds that privacy leakage is threatening the consortium blockchain-based autonomous trading system, based on a real-world case, as data stored in blocks are open to the public.”
• Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids (2019, background): “Besides the typical paper listed above, the attack/threat model are explored further in energy blockchain in [28] and [29] to enhance the security and privacy.”