SECR: A Secure and Efficient Charging Reservation Scheme Based on Digital Twin in Vehicular Network

Li, G; Luan, TH; Zheng, J; Lai, C; Zhang, K; Yu, S

SECR: A Secure and Efficient Charging Reservation Scheme Based on Digital Twin in Vehicular Network

Li, G Luan, TH Zheng, J Lai, C Zhang, K Yu, S

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Internet of Things Journal, 2024, PP, (99), pp. 1-1
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Li, G
dc.contributor.author	Luan, TH
dc.contributor.author	Zheng, J
dc.contributor.author	Lai, C
dc.contributor.author	Zhang, K
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.date.accessioned	2025-01-03T02:34:44Z
dc.date.available	2025-01-03T02:34:44Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Internet of Things Journal, 2024, PP, (99), pp. 1-1
dc.identifier.issn	2327-4662
dc.identifier.issn	2327-4662
dc.identifier.uri	http://hdl.handle.net/10453/182940
dc.description.abstract	Despite the rapid growth of electric vehicles, charging remains a time-consuming issue that requires effective management. An important solution uses digital twin technology, which acts as a virtual agent for electric vehicles in the digital space. Digital twin can analyze real-time vehicle data to develop optimal charging schedules and reserve charging providers in advance through the vehicular network, leading to more efficient charging processes. However, the vehicular network exposes the automated reservation process of the digital twin to security attacks. Additionally, there is a risk that the actual charging process may deviate from the scheduled requirements set by the digital twin, resulting in wasted charging resources. To address these issues, this paper proposes a secure and efficient charging reservation scheme based on digital twin technology. To prevent malicious attacks, we first design a secure and privacy-preserving reservation authentication protocol using the extended Chebyshev chaotic maps, taking into account the computational resources of the electric vehicle. Furthermore, we develop a reputation mechanism to evaluate and incentivize the charging behavior of electric vehicles. Formal verification and further discussions are conducted to show diverse security functionalities of the proposed scheme can be achieved. We evaluate that the proposed scheme outperforms existing schemes in terms of computation and communication overheads, while also assessing the impact of EV charging behavior on reputation and charging level.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Internet of Things Journal
dc.relation.isbasedon	10.1109/JIOT.2024.3511132
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 1005 Communications Technologies
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	SECR: A Secure and Efficient Charging Reservation Scheme Based on Digital Twin in Vehicular Network
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	0805 Distributed Computing
utslib.for	1005 Communications Technologies
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Cyber Security and Privacy (CCSP)
utslib.copyright.status	closed_access	*
dc.date.updated	2025-01-03T02:34:42Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

Despite the rapid growth of electric vehicles, charging remains a time-consuming issue that requires effective management. An important solution uses digital twin technology, which acts as a virtual agent for electric vehicles in the digital space. Digital twin can analyze real-time vehicle data to develop optimal charging schedules and reserve charging providers in advance through the vehicular network, leading to more efficient charging processes. However, the vehicular network exposes the automated reservation process of the digital twin to security attacks. Additionally, there is a risk that the actual charging process may deviate from the scheduled requirements set by the digital twin, resulting in wasted charging resources. To address these issues, this paper proposes a secure and efficient charging reservation scheme based on digital twin technology. To prevent malicious attacks, we first design a secure and privacy-preserving reservation authentication protocol using the extended Chebyshev chaotic maps, taking into account the computational resources of the electric vehicle. Furthermore, we develop a reputation mechanism to evaluate and incentivize the charging behavior of electric vehicles. Formal verification and further discussions are conducted to show diverse security functionalities of the proposed scheme can be achieved. We evaluate that the proposed scheme outperforms existing schemes in terms of computation and communication overheads, while also assessing the impact of EV charging behavior on reputation and charging level.

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http://hdl.handle.net/10453/182940