通信学报 ›› 2023, Vol. 44 ›› Issue (4): 187-200.doi: 10.11959/j.issn.1000-436x.2023081

• 学术论文 • 上一篇    下一篇

支持多功能的V2G网络隐私保护数据聚合方案

胡柏吉1,2, 张晓娟2, 李元诚1, 赖荣鑫1   

  1. 1 华北电力大学控制与计算机工程学院,北京 102206
    2 中国电力科学研究院有限公司信息通信研究所,北京 100192
  • 修回日期:2023-03-23 出版日期:2023-04-25 发布日期:2023-04-01
  • 作者简介:胡柏吉(1992- ),男,湖南衡阳人,华北电力大学博士生,主要研究方向为区块链、密码学、隐私保护等
    张晓娟(1988- ),女,河北张家口人,博士,中国电力科学研究院有限公司高级工程师,主要研究方向为密码学、数据安全、电力系统信息安全等
    李元诚(1970- ),男,山东烟台人,博士,华北电力大学教授、博士生导师,主要研究方向为密码学、信息安全等
    赖荣鑫(1996- ),男,海南澄迈人,华北电力大学硕士生,主要研究方向为区块链、密码学、信息安全等
  • 基金资助:
    国家重点研发计划基金资助项目(2020YFB0905900)

Multi-function supported privacy protection data aggregation scheme for V2G network

Baiji HU1,2, Xiaojuan ZHANG2, Yuancheng LI1, Rongxin LAI1   

  1. 1 School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
    2 Institute of Information and Communication, China Electric Power Research Institute Co., Ltd., Beijing 100192, China
  • Revised:2023-03-23 Online:2023-04-25 Published:2023-04-01
  • Supported by:
    The National Key Research and Development Program of China(2020YFB0905900)

摘要:

针对目前隐私保护数据聚合方案的功能不够完善,不足以满足日益丰富的应用需求问题,提出了一个支持多功能的V2G网络隐私保护数据聚合(MFPDA)方案。基于BGN、BLS、Shamir密码共享等密码算法,以及雾计算和联盟链技术,将支持容错、抵抗内部攻击、批量签名验证、不需要可信第三方和多种聚合函数等多个安全功能纳入一个隐私保护数据聚合方案中。安全性分析表明,所提方案满足数据聚合的安全性、隐私性和可靠性。性能评估表明,雾计算的引入能显著减少控制中心的计算开销,减少率可达66.6%;对联盟链的改进能有效减少系统的通信和存储开销,减少率分别可达16.7%和24.9%。

关键词: 隐私保护, 数据聚合, BGN同态密码系统, 联盟链

Abstract:

In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.

Key words: privacy protection, data aggregation, BGN homomorphic cryptosystem, consortium blockchain

中图分类号: 

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