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 | |
| Publication status | Published - Jun 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Consortium blockchain
- differential privacy
- neighboring energy trading
- privacy-preserving
- smart grid
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