Abstract: Blockchain technology is widely used in vehicular network, energy internet, smart grid， etc., but attackers can combine social engineering and data mining algorithms to obtain users’ privacy data recorded in the blockchain； especially in microgrid, data generated by games between neighboring energy nodes are more likely to leak user privacy. In order to solve such a problem, based on the alliance blockchain, a secure energy transaction model with a one-to-many energy node account matching mechanism was proposed. The proposed model mainly uses the generation of new accounts to prevent attackers from using data mining algorithms to obtain private data such as energy node accounts, geographical locations, and energy usage from transaction records. The simulation experiment combines the characteristics of the alliance chain, the number of new accounts generated by energy nodes, and the change of transaction verification time to give the analysis results of privacy protection performance, transaction efficiency, and security efficiency. The experimental results show that， the proposed model requires less time during the stage of transaction initiation and verification, has higher security, and the model can hide the transaction trend between adjacent users. The proposed scheme can be well applied to the energy internet transaction scenario.

Key words: energy blockchain, privacy preserving, data mining, transaction model, account mapping mechanism

摘要： 目前区块链技术广泛应用于车载网、能源互联网、智能电网等领域，但攻击者可以结合社会工程学与数据挖掘算法获取用户记录在区块链网络中的隐私数据，尤其是微网中相邻能源节点之间由于博弈产生的数据更容易导致隐私的泄露。为了解决这一安全问题，基于联盟区块链技术提出一个以一对多的能源节点账户匹配机制为核心的安全能源互联网交易模型。该模型主要通过新账户的生成来防止攻击者通过数据挖掘算法从交易记录中获取能源节点的账户、地理位置、能源使用情况等隐私数据。仿真实验结合联盟链的特点、能源节点新账户生成数量、交易验证时间变化情况，给出对隐私保护性能、交易效率、安全性效率的分析结果。实验结果表明，所提模型在交易发起和验证阶段所需时间较少，具有较高的安全性，且模型能对相邻用户间的交易趋势进行隐藏。所提方案能够很好地适用于能源互联网交易场景。

关键词: 能源区块链, 隐私保护, 数据挖掘, 交易模型, 账户匹配机制