• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
基于隐私同态的城市配电网多级网格数据聚合算法
Multi-level grid data aggregation algorithm for urban distribution network based on privacy homomorphism
Received:January 07, 2022  Revised:February 14, 2022
DOI:10.19753/j.issn1001-1390.2002.09.015
中文关键词: 隐私同态  配电网  多级网格数据  聚合  密度阈值函数  聚类中心
英文关键词: privacy homomorphism, distribution network, multi-level grid data, aggregation, density threshold function, clustering center
基金项目:中国南方电网科技项目(670000KK58200011)
Author NameAffiliationE-mail
Xia Wei* China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510000, China summerhi75@163.com 
Cai Wenting China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510000, China summerhi75@163.com 
Liu Yang China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510000, China summerhi75@163.com 
Hits: 1787
Download times: 452
中文摘要:
      针对城市配电网多级网格数据聚合过程中出现的数据隐私安全问题,提出了一种基于隐私同态的城市配电网多级网格数据聚合算法。通过数据格式转化方法重新获取新的数据,并保证数据获取的完整性;通过密度阈值函数设置、初始聚类中心选取与网格聚类等过程实现数据聚合,在此基础上,采用隐私同态技术加密聚合后的数据,实现基于隐私同态的城市配电网多级网格数据聚合。实验结果表明,所提出的基于隐私同态的城市配电网多级网格数据聚合算法,能够有效减少聚合后数据丢失与被篡改的次数,提高数据加密效率与聚合效率,降低数据的通信费用。
英文摘要:
      Due to the data privacy security problem within the process of data aggregation of multi-level grids in urban distribution network, a multi-level grid data aggregation algorithm for urban distribution network based on privacy homomorphism is proposed in this paper. The new data is re-acquired through the data format conversion method, and the integrity of data acquisition is ensured. The data aggregation is realized through the process of density threshold function setting, initial clustering center selection and grid clustering. On this basis, the privacy homomorphism technology is used to encrypt the aggregated data to realize the multi-level grid data aggregation of urban distribution network based on privacy homomorphism. The experimental results show that the proposed multi-level grid data aggregation algorithm for urban distribution network based on privacy homomorphism can effectively reduce the number of data loss and tampering after aggregation, improve data encryption efficiency and aggregation efficiency, and reduce data communication costs.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd