EPMDA-FED: Efficient and Privacy-Preserving Multidimensional Data Aggregation Scheme With Fast Error Detection in Smart Grid

2021 ◽  
pp. 1-1
Author(s):  
Zhusen Liu ◽  
Zhenfu Cao ◽  
Xiaolei Dong ◽  
Xiaopeng Zhao ◽  
Tian Liu ◽  
...  
Keyword(s):  
Smart Grid ◽  
Error Detection ◽  
Data Aggregation ◽  
Privacy Preserving ◽  
Multidimensional Data ◽  
Aggregation Scheme

Privacy-Preserving Multidimensional Data Aggregation Scheme Without Trusted Authority in Smart Grid

2020 ◽  
pp. 1-12
Author(s):  
Xiangjian Zuo ◽  
Lixiang Li ◽  
Haipeng Peng ◽  
Shoushan Luo ◽  
Yixian Yang
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Privacy Preserving ◽  
Multidimensional Data ◽  
Aggregation Scheme

scholarly journals Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yousheng Zhou ◽  
Xinyun Chen ◽  
Meihuan Chen
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Data Privacy ◽  
Random Oracle Model ◽  
Privacy Preserving ◽  
Multidimensional Data ◽  
Communication Overhead ◽  
Security Threat ◽  
Grid Data ◽  
Aggregation Scheme

In a smart grid, data aggregation is a common method to evaluate regional power consumption. Data leakage in the process of data transmission poses a security threat to the privacy of users. Many existing data aggregation schemes can only aggregate one-dimensional data; however, it is necessary to aggregate multidimensional data in practical smart grid applications. Therefore, this paper proposes a privacy-preserving multidimensional data aggregation scheme, which can aggregate multidimensional data and protect the individual user’s identity and data privacy. The security of the proposed scheme is proved under the random oracle model. The simulation results show that the proposed scheme has great advantages in computing overhead, and the communication overhead also meets the requirements of the smart grid.

Efficient and Privacy-Preserving Data Aggregation Scheme for Smart Grid Against Internal Adversaries

2017 ◽  
Vol 8 (5) ◽  
pp. 2411-2419 ◽  
Author(s):  
Debiao He ◽  
Neeraj Kumar ◽  
Sherali Zeadally ◽  
Alexey Vinel ◽  
Laurence T. Yang
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Privacy Preserving ◽  
Aggregation Scheme
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