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A Privacy-Preserving Approach to Vehicle Renting and Driver Accountability in VANETs
Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013).
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0000-0001-9455-4271
Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013).ORCID iD: 0000-0002-9980-3473
Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013).
2024 (English)In: Privacy and Identity Management. Sharing in a Digital World / [ed] Felix Bieker, Silvia de Conca, Nils Gruschka, Meiko Jensen, Ina Schiering, Springer Nature , 2024, p. 192-210Conference paper, Published paper (Refereed)
Abstract [en]

Vehicular Ad Hoc Networks (VANETs) play a crucial rolein the evolution of Intelligent Transportation Systems. The problems ofrenting and drivers’ accountability still need to be answered in VANETs.Existing proposals do not consider renting vehicles, and there is nodistinction between renters and owners. This paper proposes privacy-preserving rental and accountability protocols to address these problems.The proposed rental protocol outputs an agreement between an ownerand a renter, which allows the renter to unlock and drive the vehicle.The privacy-preserving accountability protocol offers a robust solutionfor detecting and mitigating malicious behavior in VANETs. It provides aplatform for holding entities accountable for their actions without violating their privacy. The paper demonstrates that our solution successfullymeets the pre-set security and privacy requirements in VANETs. Thesefindings suggest promising potential for improving future vehicular networks’ safety, efficiency, and performance.

Place, publisher, year, edition, pages
Springer Nature , 2024. p. 192-210
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 695
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-52104DOI: 10.1007/978-3-031-57978-3_13ISI: 001468250800013Scopus ID: 2-s2.0-85192369838ISBN: 978-3-031-57977-6 (print)ISBN: 978-3-031-57978-3 (electronic)OAI: oai:DiVA.org:miun-52104DiVA, id: diva2:1888591
Conference
18th IFIP International Summer School, Privacy and Identity, Oslo, Norway, August 8–11, 2023.
Available from: 2023-11-30 Created: 2024-08-13 Last updated: 2025-09-25Bibliographically approved
In thesis
1. Privacy-Preserved Authentication & Communication in Vehicular Ad-Hoc Networks
Open this publication in new window or tab >>Privacy-Preserved Authentication & Communication in Vehicular Ad-Hoc Networks
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

As a key component of Intelligent Transportation Systems (ITS), Vehicular Ad hoc Networks (VANETs) enable real-time data exchange, traffic optimization, and smarter mobility. However, large-scale deployment raises critical security and privacy concerns, including message integrity, user anonymity, and protection against unauthorized access. This thesis proposes lightweight cryptographic protocols for secure and privacy-preserving authentication in both centralized and decentralized VANETs. The solutions are designed for real-time efficiency, scalability, and strong security. A primary contribution is the development of a localized task management system that significantly reduces authentication latency in centralized VANETs, achieving vehicle verification within a fraction of a millisecond. In decentralized settings, the proposed protocols employ advanced cryptographic mechanisms to establish distributed trust without incurring high computational overhead, including elliptic curve digital signatures (ECDSA) and non-interactive zero-knowledge proofs (NIZKPs). These techniques provide strong, provable security while preserving user anonymity during authentication and message exchange. To enhance group communication in VANETs, the thesis introduces efficient group key-sharing schemes that support secure, direct interactions among vehicles. Furthermore, a novel localized revocation mechanism immediately removes malicious vehicles from the network, addressing a key limitation in existing frameworks. This ensures fast, secure authentication for time-sensitive message transfers while limiting the propagation of malicious data. The thesis also investigates the proposed protocol’s performance under dynamic conditions such as high traffic density, large-scale decentralized deployments, and remote authentication scenarios. It introduces an innovative batch verification technique that supports fault-tolerant Vehicle-to-Vehicle (V2V) authentication, capable of maintaining high throughput while accurately identifying faulty messages even when the invalid message rate reaches 42%. Empirical evaluations demonstrate that the proposed solutions outperform existing schemes in terms of latency, computational efficiency, and robustness. The protocols complete single vehicle verifications within 5 milliseconds, making them suitable for dense and time-critical VANET environments. Additionally, all proposed methods align with prevailing vehicular communication standards such as IEEE WAVE and 3GPP C-V2X, ensuring practical applicability. In summary, this research advances the state of the art in VANET security by delivering scalable, privacy-preserving, and efficient authentication protocols that meet the demands of real-time vehicular communication systems.

Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2025. p. 70
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 425
National Category
Communication Systems
Identifiers
urn:nbn:se:miun:diva-54060 (URN)978-91-90017-15-9 (ISBN)
Public defence
2025-04-29, M108, Holmgatan 10, Sundsvall, 10:15 (English)
Opponent
Supervisors
Note

Vid tidpunkten för disputationen var följande delarbeten opublicerade: delarbete 4 inskickat, delarbete 5 accepterat.

At the time of the doctoral defence the following papers were unpublished: paper 4 submitted, paper 5 accepted.

Available from: 2025-03-25 Created: 2025-03-24 Last updated: 2025-09-25Bibliographically approved

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Akil, MahdiNaskar, SujashMartucci, LeonardoHoepman, Jaap-Henk

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