Implementing blockchain techniques has enabled secure smart trading in many realms, e.g. neighboring energytrading. However, trading information recorded on the blockchain also brings privacy concerns. Attackers can utilize data miningalgorithms to obtain users’ privacy, specially, when the user group is located in nearby geographic positions. In this paper, wepresent 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 energysale of sellers deriving from the fact that various energy trading volumes can be mined to detect its relationships with otherinformation, such as physical location and energy usage. Experiment evaluations have demonstrated the effectiveness of theproposed approach.
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