Journal of Computer Applications ›› 2020, Vol. 40 ›› Issue (6): 1668-1673.DOI: 10.11772/j.issn.1001-9081.2019101784

• Cyber security • Previous Articles     Next Articles

Secure energy transaction scheme based on alliance blockchain

LONG Yangyang1,2, CHEN Yuling1,2, XIN Yang1,3, DOU Hui1,2   

  1. 1. State Key Laboratory of Public Big Data (Guizhou University), Guiyang Guizhou 550025, China
    2. College of Computer Science and Technology, Guizhou University, Guiyang Guizhou 550025, China
    3. School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2019-10-20 Revised:2019-12-10 Online:2020-06-10 Published:2020-06-18
  • Contact: CHEN Yuling, born in 1983, Ph. D. candidate, associate professor. Her research interests include cryptography, information security, blockchain, Internet of things security
  • About author:CHEN Yuling, born in 1983, Ph. D. candidate, associate professor. Her research interests include cryptography, information security, blockchain, Internet of things security. LONG Yangyang, born in 1993, M. S. candidate. His research interests include blockchain, Internet of things security.XIN Yang, born in 1977, Ph. D., professor. His research interests include network security, intelligent information processing, cyberspace security, artificial intelligence, storage disaster recovery.DOU Hui, born in 1996, M. S. candidate. Her research interests include data security, privacy protection, cryptography, information security, wireless sensor network.
  • Supported by:
    National Natural Science Foundation of China (61962009), the Scientific and Technological Special Project of Guizhou Province (20183001).

基于联盟区块链的安全能源交易方案

龙洋洋1,2, 陈玉玲1,2, 辛阳1,3, 豆慧1,2   

  1. 1.公共大数据国家重点实验室(贵州大学),贵阳 550025
    2.贵州大学 计算机科学与技术学院,贵阳 550025
    3.北京邮电大学 网络空间安全学院, 北京 100876
  • 通讯作者: 陈玉玲(1983—)
  • 作者简介:龙洋洋(1993—),男,贵州织金人,硕士研究生,主要研究方向:区块链、物联网安全.陈玉玲(1983—),女,山东潍坊人,副教授,博士研究生,主要研究方向:密码学、信息安全、区块链、物联网安全.辛阳(1977—),男,北京人,教授,博士,主要研究方向:网络安全、智能信息处理、网络空间安全、人工智能、存储灾备.豆慧(1996—),女,河南周口人,硕士研究生,主要研究方向:数据安全、隐私保护、密码学、信息安全、无线传感器网络.
  • 基金资助:
    国家自然科学基金资助项目(61962009);贵州省科技重大专项计划项目(20183001)。

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

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