Smart Grid is an indispensable part of the Internet of Things (IoT) and has the potential to revolutionise the electricity energy industry. Smart meters, as an important component of Smart Grid, are responsible for the exchange of information between end consumers and service providers. Smart meters and service providers need to use authentication key exchange protocols (AKE) to establish a secure session for secure information transmission. However, The current state-of-the-art lightweight solutions do not support identity anonymity and mostly have high communication costs. This paper proposes a lightweight and secure mutual authentication scheme, which is particularly designed for devices with limited computing capability to provide identity anonymity such as smart meters, based on the Shangyong Mima 2 (SM2) AKE protocol stipulated by the State Cryptography Administration of China. We conducted formal analysis of the security of the proposed scheme and proved its security. In addition, the computational overhead of the protocol was evaluated through performance analysis. Compared with related lightweight protocols, our scheme can reduce up to 30 %-40 % computational overhead. The results verified that the proposed scheme is indeed suitable for secure communication involving devices with constrained computing capability.
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Indian Inst Technol, Dept Math, Kharagpur 721302, W Bengal, India
Indian Inst Informat Technol, Dept Comp Sci & Engn, Sri City 517588, Andhra Pradesh, IndiaInt Inst Informat Technol, Ctr Secur Theory & Algorithm Res, Hyderabad 500032, Andhra Pradesh, India
Odelu, Vanga
Wu, Fan
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Xiamen Inst Technol, Dept Comp Sci & Engn, Xiamen 361021, Peoples R ChinaInt Inst Informat Technol, Ctr Secur Theory & Algorithm Res, Hyderabad 500032, Andhra Pradesh, India
Wu, Fan
Li, Xiong
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Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan 411201, Peoples R ChinaInt Inst Informat Technol, Ctr Secur Theory & Algorithm Res, Hyderabad 500032, Andhra Pradesh, India
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Taiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, ChinaTaiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, China
Cheng, Ran
Yang, Yukun
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Taiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, ChinaTaiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, China
Yang, Yukun
Zhang, Zhengzhuo
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Taiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, ChinaTaiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, China
Zhang, Zhengzhuo
Sun, Xiaoxin
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Taiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, ChinaTaiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, China
Sun, Xiaoxin
Huang, Xin
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Taiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, ChinaTaiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, China
Huang, Xin
Wu, Xiaohua
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Taiyuan,030024, ChinaTaiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, China
Wu, Xiaohua
Zhao, Liangbin
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Taiyuan,030024, ChinaTaiyuan University of Technology, College of Computer Science and Technology (College of Data Science), Taiyuan,030024, China
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Univ Sharjah, Coll Comp & Informat, Sharjah, U Arab Emirates
Univ Jordan, King Abdullah II Sch Informat Technol, Amman, Jordan
Univ Sci & Technol, Beijing, Peoples R ChinaUniv Tunis El Manar, Fac Sci Tunis, LIPAH-LR11ES14, Tunis 2092, Tunisia