Efficient Privacy-Preserving and Secure Authentication for Electric-Vehicle-to-Electric-Vehicle-Charging System Based on ECQV

Abstract

The use of Electric Vehicles (EVs) is almost inevitable in the near future for the sake of the environment and our plant’s long-term sustainability. The availability of an Electric-Vehicle-Charging Station (EVCS) is the key challenge that owners are worried about. Therefore, we suggest benefiting from individual EVs that have excess energy and are willing to share it with other EVs in order to maximize the availability of EVCSs without the need to rely on the existing charging infrastructure. The Internet of Electric Vehicles (IoEV) is gradually gaining traction, allowing for a more efficient and intelligent transportation system by leveraging these capabilities between EVs. However, the IoEV is considered a trustless environment, with untrustworthy trading partners such as data sellers, buyers, and brokers. Data exchanged between the EV and the Energy AGgregator (EAG) or EV/EV can be used to analyze users’ behavior and compromise their privacy. Thus, a Vehicle-to-Vehicle (V2V)-charging system that is both secure and private must be established. Several V2V-charging systems with security and privacy features have been proposed. However, even if the transmitted communications are entirely anonymous, anonymity alone will not prevent the tracking adversary from reconstructing the target vehicle’s route. These systems frequently fail to find a balance between privacy concerns (e.g., trade traceability to achieve anonymity, and so on) and security measures. In this paper, we propose an efficient privacy-preserving and secure authentication based on Elliptic Curve Qu–Vanstone (ECQV) for a V2V-charging system that fulfils the essential requirements and re-authentication protocol in order to reduce the overhead of future authentication processes. The proposed scheme utilizes the ECQV implicit-certificate mechanism to create credentials and authenticate EVs. The proposed protocols provide efficient security and privacy to EVs, as well as an 88% reduction in computational time through re-authentication, as compared to earlier efforts.

Lightweight Authenticated Privacy-Preserving Secure Framework for the Internet of Vehicles

“…A cloud user, on the other side, should be a legal entity in the network. Whenever a cloud consumer transmits messages to one or more VCs, his or her identification must be verified [25,26].…”

Featured Papers on Network Security and Privacy

“…A network's privacy is intricately connected to information related to a specific individual resource, be that a device, personally identifiable information (PII), a service, etc. [4]. Nevertheless, there are instances where meticulous collection of personal data is necessary for specific use cases or compliance with legal obligations.…”

Trading excess consumption certificates on the blockchain using the cooperative game theory

“…SK is a 256-bit binary number randomly selected by the random number generator, which is encrypted by Elliptic Curve Cryptography-Secp256k1 (one-way encryption function) to generate PK; PK is then used for Keccak-256 hash operation. The last 20bytes is the user's account address (Almuhaideb and Algothami, 2022; Valdivia and Balcell, 2022).…”