EV-PUF: Lightweight Security Protocol for Dynamic Charging System of Electric Vehicles Using Physical Unclonable Functions

• Published in: IEEE transactions on network science and engineering Vol. 9; no. 5; pp. 3791 - 3807
• Main Authors: Babu, Ponnuru Raveendra, Reddy, Alavalapati Goutham, Palaniswamy, Basker, Das, Ashok Kumar
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Authentication; Authentication protocol; Charging stations; dynamic charging; Electric vehicle charging; Electric vehicles; Lightweight; Machine learning; Mathematical models; Privacy; Protocols; random oracle model; Security; tamarin tool; Vehicle dynamics
• ISSN: 2327-4697; 2334-329X
• DOI: 10.1109/TNSE.2022.3186949

Dynamic charging is a potential technology that would enable electric vehicles to be charged while they are in motion. Significant security and privacy concerns, on the other hand, arise as a result of communications between electric vehicles and a variety of dynamic charging system entities occurring over a public channel. Numerous authentication protocols have been presented recently to address security concerns associated with dynamic charging system. Nonetheless, we provide a lightweight authentication protocol suite that enables mutual authentication and session key agreement between the electric vehicle and the charging system while safeguarding against numerous attacks. The EV-PUF is based on physical unclonability, which is gaining popularity as a substitute for ultra-lightweight authentication and resistance to machine learning based attacks. Additionally, the security of the EV-PUF suite has been demonstrated using the random oracle model and state-of-the-art tool, Tamarin. According to the performance analysis, it is apparent that the EV-PUF suite improves efficiency in terms of consumption of less communication and computing overhead.