A lightweight and fault-tolerable data aggregation scheme for privacy-friendly smart grids environment

2021 ◽  
Author(s):  
Chengpeng Huang ◽  
Xiaoming Wang ◽  
Qingqing Gan ◽  
Daxin Huang ◽  
Mengting Yao ◽  
...  
Author(s):  
Ismaila Adeniyi Kamil ◽  
Sunday Oyinlola Ogundoyin

In smart grids (SGs), smart meters (SMs) are usually deployed to collect and transmit customers' electricity consumption data in real-time to the control center. Due to the open nature of the SG communication, several privacy-preserving data aggregation schemes have been proposed to protect the privacy of customers. However, most of these schemes cannot protect against internal attackers and they are not efficient, since SMs are constrained in processing, memory, and computing capabilities. To address these problems, the authors propose a privacy-aware lightweight data aggregation scheme against internal attackers based on Elliptic Curve Cryptography (ECC). The scheme satisfies all the security requirements of SG, and supports conditional traceability, strong anonymity and autonomy. The authors demonstrate that the proposed scheme provides confidentiality based on the Computational Diffie-Hellman (CDH) assumption and unforgeability in the security model based on the intractability of the Discrete Logarithm (DL) problem. Extensive performance analysis shows that the proposed scheme is very efficient.


2020 ◽  
Vol 14 (1) ◽  
pp. 343-352 ◽  
Author(s):  
Prosanta Gope ◽  
Biplab Sikdar

2015 ◽  
Vol 22 (2) ◽  
pp. 491-502 ◽  
Author(s):  
Debiao He ◽  
Neeraj Kumar ◽  
Jong-Hyouk Lee

2019 ◽  
Vol 13 (4) ◽  
pp. 109-138 ◽  
Author(s):  
Ismaila Adeniyi Kamil ◽  
Sunday Oyinlola Ogundoyin

In smart grids (SGs), smart meters (SMs) are usually deployed to collect and transmit customers' electricity consumption data in real-time to the control center. Due to the open nature of the SG communication, several privacy-preserving data aggregation schemes have been proposed to protect the privacy of customers. However, most of these schemes cannot protect against internal attackers and they are not efficient, since SMs are constrained in processing, memory, and computing capabilities. To address these problems, the authors propose a privacy-aware lightweight data aggregation scheme against internal attackers based on Elliptic Curve Cryptography (ECC). The scheme satisfies all the security requirements of SG, and supports conditional traceability, strong anonymity and autonomy. The authors demonstrate that the proposed scheme provides confidentiality based on the Computational Diffie-Hellman (CDH) assumption and unforgeability in the security model based on the intractability of the Discrete Logarithm (DL) problem. Extensive performance analysis shows that the proposed scheme is very efficient.


2017 ◽  
Vol 129 ◽  
pp. 28-36 ◽  
Author(s):  
Erfaneh Vahedi ◽  
Majid Bayat ◽  
Mohammad Reza Pakravan ◽  
Mohammad Reza Aref

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