Internet of Things (IoTs) is a promising technology that combines communication and data networking. Integration of Smart Grids (SGs) and IoT will fulfill an increased demand for energy requirements by transforming the reliable and efficient traditional power grids. The SG enables bi-directional transmission between the Service Provider (SP) and Smart Meter (SM) to send and receive information regarding electricity consumption over a public channel. The public channel allows an adversary to intercept the information exchanged between them and tamper with the SM as it is installed outside which leads to forging or modification of the messages and privacy violation. In addition, the SM has limited computational and storage capacity. To protect SM privacy and securely communicate in the SG network, Physically Unclonable Functions (PUFs) based Authentication and Key Agreement (AKA) schemes were suggested in the literature. However, they may suffer from the machine learning modeling attack and several other security issues. Thus, we propose a finite state machine enabled controlled PUF based AKA (PF-AKA) Framework for the IoT based SG (IoT-SG) network. The PF-AKA framework is verified formally using the Real-or-Random (RoR) model, AVISPA tool, and BAN logic. It shows that PF-AKA achieves the security requirements along with protection from the SM physical and modeling attacks. The performance analysis is carried out and it represents that the PF-AKA yields competitive computation and communication costs compared to AKA schemes in the literature for the IoT-SG network.
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Tianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R ChinaTianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R China
Wang, Cong
Li, Su
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Tianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R ChinaTianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R China
Li, Su
Ma, Maode
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Qatar Univ, Coll Engn, Doha 2713, QatarTianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R China
Ma, Maode
Tong, Xin
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Tianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R ChinaTianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R China
Tong, Xin
Zhang, Yiying
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Tianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R ChinaTianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R China
Zhang, Yiying
Zhang, Bo
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State Grid Smart Grid Res Inst Co Ltd, Nanjing 211167, Peoples R ChinaTianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300453, Peoples R China
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Prince Sattam bin Abdulaziz Univ, Dept Comp Sci, Al Kharj, Ar Riyadh, Saudi ArabiaJouf Univ, Coll Comp & Informat Sci, Dept Comp Engn & Networks, Sakaka 72388, Saudi Arabia
Alotaibi, Faisal Mohammed
Abdelfattah, Waleed
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Univ Business & Technol, Gen Subject Dept, Jeddah 23435, Saudi ArabiaJouf Univ, Coll Comp & Informat Sci, Dept Comp Engn & Networks, Sakaka 72388, Saudi Arabia