IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v322y2022ics0306261922007723.html
   My bibliography  Save this article

Blockchain based energy trading scheme for vehicle-to-vehicle using decentralized identifiers

Author

Listed:
  • Kim, Myeonghyun
  • Lee, Joonyoung
  • Oh, Jihyeon
  • Park, Kisung
  • Park, Youngho
  • Park, Kilhoum

Abstract

A blockchain-based energy trading system is a new paradigm of grid infrastructure, which allows that energy purchaser and seller can efficiently exchange the energy through two-way communication. However, because energy trading services are provided through public networks, these systems are vulnerable to potential security breaches. This paper proposed a privacy-preserving blockchain-based energy trading scheme for vehicle-to-vehicle to resolve the security issues of contemporary systems and provide secure energy trading services. The proposed scheme has high efficiency by applying decentralized identifiers and verifiable credentials technologies because the records of energy trading are not stored on blockchain and blockchain is only utilized in the validation of users. After completing the energy trading, the vehicle issues a verifiable credential to the counterpart to prove the legitimacy of the transaction. We also perform informal and formal security analysis to demonstrate its security and achieve secure mutual authentication, confidentiality, and session key security. Furthermore, we implement AVISPA simulation to show that our scheme is resistant to man-in-the-middle and replay attacks. As a result, the proposed scheme can be used in distributed smart grid environments.

Suggested Citation

  • Kim, Myeonghyun & Lee, Joonyoung & Oh, Jihyeon & Park, Kisung & Park, Youngho & Park, Kilhoum, 2022. "Blockchain based energy trading scheme for vehicle-to-vehicle using decentralized identifiers," Applied Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:appene:v:322:y:2022:i:c:s0306261922007723
    DOI: 10.1016/j.apenergy.2022.119445
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922007723
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.119445?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Eiman ElGhanam & Ibtihal Ahmed & Mohamed Hassan & Ahmed Osman, 2021. "Authentication and Billing for Dynamic Wireless EV Charging in an Internet of Electric Vehicles," Future Internet, MDPI, vol. 13(10), pages 1-19, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    2. Seunghwan Son & Jihyeon Oh & Deokkyu Kwon & Myeonghyun Kim & Kisung Park & Youngho Park, 2023. "A Privacy-Preserving Authentication Scheme for a Blockchain-Based Energy Trading System," Mathematics, MDPI, vol. 11(22), pages 1-19, November.
    3. Tiande Mo & Yu Li & Kin-tak Lau & Chi Kin Poon & Yinghong Wu & Yang Luo, 2022. "Trends and Emerging Technologies for the Development of Electric Vehicles," Energies, MDPI, vol. 15(17), pages 1-34, August.
    4. Md Sahabul Hossain & Craig Rodine & Eirini Eleni Tsiropoulou, 2024. "A Blockchain and PKI-Based Secure Vehicle-to-Vehicle Energy-Trading Protocol," Energies, MDPI, vol. 17(17), pages 1-52, August.
    5. Myeonghyun Kim & Kisung Park & Youngho Park, 2024. "A Reliable and Privacy-Preserving Vehicular Energy Trading Scheme Using Decentralized Identifiers," Mathematics, MDPI, vol. 12(10), pages 1-22, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Evgenia Kapassa & Marinos Themistocleous & Klitos Christodoulou & Elias Iosif, 2021. "Blockchain Application in Internet of Vehicles: Challenges, Contributions and Current Limitations," Future Internet, MDPI, vol. 13(12), pages 1-32, December.
    2. Arpit Jain & Jaspreet Singh & Sandeep Kumar & Țurcanu Florin-Emilian & Mihaltan Traian Candin & Premkumar Chithaluru, 2022. "Improved Recurrent Neural Network Schema for Validating Digital Signatures in VANET," Mathematics, MDPI, vol. 10(20), pages 1-23, October.
    3. Guma Ali & Mussa Ally Dida & Anael Elikana Sam, 2021. "A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications," Future Internet, MDPI, vol. 13(12), pages 1-31, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:322:y:2022:i:c:s0306261922007723. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.