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

Syed Muhammad Danish, Kaiwen Zhang, Hans Arno Jacobsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728166803
DOIs
StatePublished - May 2020
Externally publishedYes
Event2nd IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020 - Virtual, Online, Canada
Duration: 2 May 20206 May 2020

Publication series

NameIEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020

Conference

Conference2nd IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2020
Country/TerritoryCanada
CityVirtual, Online
Period2/05/206/05/20

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