A privacy-preserving multi-dimensional data aggregation scheme with forward security in smart grid

Guojun Wang, Xueya Xia, Sai Ji, Chin Feng Lai

研究成果: Article同行評審

摘要

Smart grid is a new generation of power system on the strength of rapid-speed bidirectional communication network. In smart grid, the electricity data from users needs to be collected to realize efficient energy management, which may reveal their privacy. In the past period of time, data aggregation protocols have been extensively studied to solve this problem. However, these protocols treat users’ electricity data as single-dimensional data, which is inconsistent with reality. Moreover, key leakage is also a serious security threat in the smart grid. Therefore, we propose a multidimensional data aggregation protocol with forward security. In this protocol, a cube data structure is designed to represent the multi-dimensional electricity consumption data of users in a region over multiple time periods, realizing the dual aggregation of electricity data both in time and space. In addition, security analysis shows that the proposed protocol satisfies multiple security properties and performance analysis shows that our protocol is more superior in the smart grid environment.

原文English
頁(從 - 到)91-99
頁數9
期刊Journal of Internet Technology
22
發行號1
DOIs
出版狀態Published - 2021

All Science Journal Classification (ASJC) codes

  • 軟體
  • 電腦網路與通信

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