Secure Charging Scheduling Strategy for Electric Vehicles Based on Blockchain

Liu, Qian; Huan, Jinkun; Liu, Qilie

doi:10.1109/vtc2022-fall57202.2022.10012725

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The main aim of the blockchain‐based proposed scheme is to secure energy trading against various security attacks such as Sybil, denial‐of‐service (DoS), and 51% attacks. Then, to ameliorate the privacy and security of the EV scheduling, Liu et al 2 ensured the anonymity and confidentiality of the EV charging at the CS, mitigating various security threats such as anti‐replay, anti‐eavesdropping, and anti‐impersonation attacks. The above‐mentioned proposed EV energy trading schemes focused on securing and preserving energy trading data by adopting the decentralized blockchain platform.…”

Section: Introductionmentioning

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: Introductionmentioning

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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Blockchain-based Decentralized Application for Electric Vehicle Scheduling at Charging Station

Kakkar,

Chaudhary,

Gupta

et al. 2024

Proceedings of the 2024 ACM Southeast Conference on ZZZ

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Toward better blockchain-enabled energy trading between electric vehicles and smart grids in Internet of Things environments: a survey

Aoudia,

Alaraj,

Abu Waraga

et al. 2024

Front. Energy Res.

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With the rise of the 3Ds—decarbonization, decentralization, and digitalization—the number of electric vehicles is projected to increase, necessitating the implementation of modern technologies to avoid unnecessary energy wastage. Numerous studies have been developed proposing electric vehicle (EV) charging frameworks in networks empowered by renewable energy resources. In addition, more focus has recently been directed on incorporating blockchain technology to assure security and transparency in trading systems. However, fewer studies have delved into developing a practical implementation of their solution due to the complexity of the topic. Therefore, this paper thoroughly investigates integrating blockchain technology in electric vehicle charging systems, analyzing the existing practical implementation and their characteristics. It comprises 48 relevant studies between 2017 and 2023, covering the following main research areas: (i) renewable energy-based electric charging systems, (ii) blockchain frameworks used in energy trading, and (iii) performance metrics of simulated and implemented solutions. Results show that blockchain applications in EVs and energy trading systems are highly current, and researchers are actively exploring ways to improve their efficiency and effectiveness.

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Secure Charging Scheduling Strategy for Electric Vehicles Based on Blockchain

Cited by 3 publications

References 13 publications

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

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

Blockchain-based Decentralized Application for Electric Vehicle Scheduling at Charging Station

Toward better blockchain-enabled energy trading between electric vehicles and smart grids in Internet of Things environments: a survey

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