research-article

Security and privacy of electric vehicles in the smart grid context: problem and solution

Authors:

Hasen Nicanfar,

Peyman TalebiFard,

Seyedali Hosseininezhad,

Victor C.M. Leung,

Mark DammAuthors Info & Claims

DIVANet '13: Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications

Pages 45 - 54

https://doi.org/10.1145/2512921.2512926

Published: 03 November 2013 Publication History

Abstract

The technology, security and privacy requirements of the electric vehicle (EV) in the smart grid (SG) context, especially when the EV acts as mobile power storage, have gained much attention from the research community and market recently. This role of the EV is motivated by the increase in capacity of the power storages in the EV. In this paper, first we present different situations that an EV can be in the SG context and their privacy issues. Then, we provide two authentication schemes, first one between the EV and a trusted SG server directly, and second one via a non-trusted third party entity with a robust privacy-preserving agenda. Our analysis shows that our mechanisms are secure and robust enough to make sure the privacy of the customers is fully preserved, and at the same time, are efficient since they consume very limited resources.

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Cited By

Shirvani SBaseri YGhorbani A(2024)Evaluation Framework for Electric Vehicle Security Risk AssessmentIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.330766025:1(33-56)Online publication date: Jan-2024
https://doi.org/10.1109/TITS.2023.3307660
Mar MNoel JDietz J(2021)Cyber-Physical Review of a Battery Electric Vehicle Power Train: Vulnerabilities and Challenges2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)10.1109/ISGTLatinAmerica52371.2021.9543036(1-5)Online publication date: 15-Sep-2021
https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543036
Iqbal AKhan AKumar VAhmad M(2021)A Mutual Authentication and Key Agreement Protocol for Vehicle to Grid TechnologyInnovations in Electrical and Electronic Engineering10.1007/978-981-16-0749-3_66(863-875)Online publication date: 25-May-2021
https://doi.org/10.1007/978-981-16-0749-3_66
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Index Terms

Security and privacy of electric vehicles in the smart grid context: problem and solution
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Internet communications tools

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cover image ACM Conferences

DIVANet '13: Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications

November 2013

170 pages

ISBN:9781450323581

DOI:10.1145/2512921

General Chair:
Mirela S.M.A. Notare
Barddal University, Brazil
,
Program Chair:
Abdelhamid Mammeri
University of Ottawa, Canada

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 November 2013

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MSWiM '13: 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 3 - 8, 2013

Barcelona, Spain

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DIVANet '13 Paper Acceptance Rate 16 of 110 submissions, 15%;

Overall Acceptance Rate 70 of 308 submissions, 23%

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Cited By

Shirvani SBaseri YGhorbani A(2024)Evaluation Framework for Electric Vehicle Security Risk AssessmentIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.330766025:1(33-56)Online publication date: Jan-2024
https://doi.org/10.1109/TITS.2023.3307660
Mar MNoel JDietz J(2021)Cyber-Physical Review of a Battery Electric Vehicle Power Train: Vulnerabilities and Challenges2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)10.1109/ISGTLatinAmerica52371.2021.9543036(1-5)Online publication date: 15-Sep-2021
https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543036
Iqbal AKhan AKumar VAhmad M(2021)A Mutual Authentication and Key Agreement Protocol for Vehicle to Grid TechnologyInnovations in Electrical and Electronic Engineering10.1007/978-981-16-0749-3_66(863-875)Online publication date: 25-May-2021
https://doi.org/10.1007/978-981-16-0749-3_66
You PLow SZhang LDeng RGiannakis GSun YYang Z(2018)Scheduling of EV Battery Swapping–Part II: Distributed SolutionsIEEE Transactions on Control of Network Systems10.1109/TCNS.2017.27740125:4(1920-1930)Online publication date: Dec-2018
https://doi.org/10.1109/TCNS.2017.2774012
Shuaib KBarka EAbdella JSallabi FAbdel-Hafez MAl-Fuqaha A(2017)Secure Plug-in Electric Vehicle (PEV) Charging in a Smart Grid NetworkEnergies10.3390/en1007102410:7(1024)Online publication date: 19-Jul-2017
https://doi.org/10.3390/en10071024
Cebe MAkkaya KNotare MCoutinho R(2017)Utilizing Advanced Metering Infrastructure to Build a Public Key Infrastructure for Electric VehiclesProceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications10.1145/3132340.3132359(91-98)Online publication date: 21-Nov-2017
https://dl.acm.org/doi/10.1145/3132340.3132359
Bourass ACherkaoui SKhoukhi L(2017)Secure Optimal Itinerary Planning for Electric Vehicles in the Smart GridIEEE Transactions on Industrial Informatics10.1109/TII.2017.274134713:6(3236-3245)Online publication date: Dec-2017
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Shuaib KBarka EAbdella JSallabi F(2017)Secure charging and payment protocol (SCPP) for roaming plug-in electric vehicles2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)10.1109/CoDIT.2017.8102586(0173-0178)Online publication date: Apr-2017
https://doi.org/10.1109/CoDIT.2017.8102586
Tan SDe DSong WYang JDas S(2017)Survey of Security Advances in Smart Grid: A Data Driven ApproachIEEE Communications Surveys & Tutorials10.1109/COMST.2016.261644219:1(397-422)Online publication date: Sep-2018
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Wang HHe DZhang S(2017)Balanced anonymity and traceability for outsourcing small‐scale data linear aggregation in the smart gridIET Information Security10.1049/iet-ifs.2016.015011:3(131-138)Online publication date: May-2017
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