Traceable and Privacy-Preserving Authentication Scheme for Energy Trading in V2G Networks

Shen, Gang; Xia, Chengliangyi; Li, Yumei; Shen, Hua; Meng, Weizhi; Zhang, Mingwu

doi:10.1109/jiot.2023.3311800

Cited by 4 publications

(1 citation statement)

References 41 publications

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“…They have improved the resilience of the system considering the amelioration of the security, scalability, and throughput of the energy trading. Further, the authors in Reference 16 did not focus on the computational cost and communication overhead of the data transactions which is the main focus of Shen et al 17 in which the authors implemented an authentication scheme for energy trading in vehicle-to-grid (V2G) network. Next, Naik et al 18 utilized blockchain and non-fungible tokens for P2P secure energy trading and asset ownership of EVs.…”

Section: Related Workmentioning

confidence: 99%

DEVS: Secure and optimal decentralized energy trading scheme for Electric Vehicle and Charging Station using game theory

Kakkar,

Agrawal,

Tanwar

2024

Concurrency and Computation

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SummaryWith the advent and popularity of electric vehicles (EVs), the intelligent transportation system has adopted them as an alternative to fossil fuel or gasoline vehicles owing to their benefits of reduced greenhouse gas emissions. However, it becomes critical to schedule the vast EVs at the charging station (CS) efficiently while maintaining security, privacy, and optimality during the energy trading. Therefore, we propose a blockchain and zero‐sum game theory‐based energy trading scheme, that is, DEVS, for optimal and secure EV charging at the CS. We incorporate the Interplanetary File System with the blockchain to ameliorate the cost‐efficiency and reliability of EV energy trading. Furthermore, we implement the zero‐sum game theory between players EV and CS to yield an optimal payoff based on pure and mixed strategies during the energy trading procedure. Moreover, we deploy and execute the smart contract (SC) of the blockchain‐based proposed DEVS scheme in the Remix integrated development environment to secure EV energy trading transactions. Additionally, the security of the proposed DEVS scheme is checked and analyzed using a fuzzing‐based Echidna tool for protected energy trading. Finally, the performance evaluation of the proposed DEVS scheme is analyzed using various standard metrics such as profit comparison based on strategies, energy price comparison, CS profit comparison for pure strategy (based on arrival time), convergence comparison, and profit (EV and CS) at saddle point and mixed strategy to avail preserved and optimal energy trading for EVs.

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Section: Related Workmentioning

confidence: 99%