A Blockchain-Based Privacy-Preserving Intelligent Charging Station Selection for Electric Vehicles

Syed Muhammad Danish, Kaiwen Zhang, Hans Arno Jacobsen

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

12 Zitate (Scopus)

Abstract

The untrusted centralized nature of energy markets and electric vehicle (EV) charging infrastructures result in several privacy and security threats to the private information of EV users. These security and privacy threats include targeted advertisements, privacy leakage, selling data to third party, etc. In this work, we propose a blockchain-based privacy-preserving intelligent charging station (CS) selection for EVs to ensure the security and privacy of the EV users and availability of the CSs. We introduce a blockchain-based framework to implement secure charging services and trusted reservation for EVs through the execution of smart contracts. We also formulate the problem of privacy-preserving intelligent CS selection and propose a mechanism for EVs to select the optimal CS locally based on dynamic requirements. Finally, we present an example scenario of our proposed framework.

OriginalspracheEnglisch
TitelIEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781728166803
DOIs
PublikationsstatusVeröffentlicht - Mai 2020
Extern publiziertJa
Veranstaltung2nd IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020 - Virtual, Online, Kanada
Dauer: 2 Mai 20206 Mai 2020

Publikationsreihe

NameIEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020

Konferenz

Konferenz2nd IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020
Land/GebietKanada
OrtVirtual, Online
Zeitraum2/05/206/05/20

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