EFFECT: an efficient flexible privacy-preserving data aggregation scheme with authentication in smart grid

被引:0
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作者
Zhitao Guan
Yue Zhang
Liehuang Zhu
Longfei Wu
Shui Yu
机构
[1] North China Electric Power University,School of Control and Computer Engineering
[2] Beijing Institute of Technology,School of Computer
[3] Fayetteville State University,Department of Mathematics and Computer Science
[4] Deakin University,School of Information Technology
来源
关键词
privacy-preserving; authentication; batch verification; smart grid;
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摘要
Smart grid is considered as a promising approach to solve the problems of carbon emission and energy crisis. In smart grid, the power consumption data are collected to optimize the energy utilization. However, security issues in communications still present practical concerns. To cope with these challenges, we propose EFFECT, an efficient flexible privacy-preserving aggregation scheme with authentication in smart grid. Specifically, in the proposed scheme, we achieve both data source authentication and data aggregation in high efficiency. Besides, in order to adapt to the dynamic smart grid system, the threshold for aggregation is adjusted according to the energy consumption information of each particular residential area and the time period, which can support fault-tolerance while ensuring individual data privacy during aggregation. Detailed security analysis shows that our scheme can satisfy the desired security requirements of smart grid. In addition, we compare our scheme with existing schemes to demonstrate the effectiveness of our proposed scheme in terms of low computational complexity and communication overhead.
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