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Pseudo-Random Identification and Efficient Privacy-Preserving V2X Communication for IoV Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0000-0001-9455-4271
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0000-0003-0873-7827
2025 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 13, p. 1147-1163Article in journal (Refereed) Published
Abstract [en]

The advancement of Internet of Vehicles (IoV) technologies has significantly enhanced road safety and transportation efficiency through smart traffic management and precise control systems. With the advent of 5G and beyond, vehicles within the IoV ecosystem can seamlessly communicate with various smart entities (X) using V2X (Vehicle-to-Entity) communications. However, the openness of IoV networks and the exponential growth of V2X links have expanded potential attack surfaces, increasing the risk of security and privacy breaches. In response to these challenges, this article proposes a privacy-preserving and secure communication framework for IoV networks, addressing critical security challenges in V2X communication. By leveraging lightweight cryptographic mechanisms such as hash functions, quadratic residuosity, and Legendre symbols, the proposed scheme ensures secure authentication, group key sharing, and pseudonym management within IoV networks. The proposed scheme's security and privacy features, along with its correctness, have been rigorously validated against various security threats where other state-of-the-art schemes fail. Comprehensive performance analysis demonstrates that our scheme completes authentication in a fraction of a millisecond, significantly outperforming existing approaches. The design simplicity and efficiency of the proposed authentication structure make it highly suitable for real-world IoV applications. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. Vol. 13, p. 1147-1163
Keywords [en]
Anonymous Authentication, Internet of Vehicles, Preserving Privacy, Security attacks, V2X Communication, Vehicular Ad-Hoc Networks
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:miun:diva-53546DOI: 10.1109/ACCESS.2024.3523358ISI: 001389744500035Scopus ID: 2-s2.0-85213683056OAI: oai:DiVA.org:miun-53546DiVA, id: diva2:1925113
Available from: 2025-01-08 Created: 2025-01-08 Last updated: 2025-09-25
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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Naskar, SujashZhang, TingtingGidlund, Mikael

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