Secure and Efficient Mutual Authentication Protocol for VANETs Using Edge Computing and Signature-Based Cryptography

Security in vehicular ad-hoc networks (VANETs) as a result, vehicular ad-hoc networks (VANETs) need to adopt and implement strong security protocols respective to vehicle-tovehicle and vehicle-to-infrastructure communication. But state-ofthe-art authentication methods have drawbacks like computational overhead, scalability issues, and susceptibility to identity stealing, replay attacks and data manipulation. To mitigate these issues, we present an innovative protocol for mutual authentication in edge computing assisted VANEts by employing an elliptic curve signature-based to improve the security and performance of the protocol. The proposed scheme guarantees low-latency authenticated by offloading computation tasks to edge nodes and simultaneously provides conditional privacy-preserving vehicle tracing for law enforcement. Formal security verification using ProVerif shows to be resilient towards replays, man-in-the-middle and eavesdropping attacks. Simulation results also show that the proposed protocol achieves highly efficient computational and communication overhead in comparison with current approaches. The performance results are promising and therefore, the proposed scheme can I be considered as practical and scalable for realistic applications in VANET.

Authors

Institutions

Publication Details

Journal
Journal of Robotics and Control (JRC)
Published
2025-03-21
DOI
https://doi.org/10.18196/jrc.v6i2.25663
Citations
3
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secure and Efficient Mutual Authentication Protocol for VANETs Using Edge Computing and Signature-Based Cryptography

Md Asri Ngadi, Rami Shehab, ‪Mahmood A. Al-Shareeda‬‏, Abdulnasser AbdulJabbar Abbood et al.
3 citations
Journal of Robotics and Control (JRC)
Vehicular Ad Hoc Networks (VANETs)
2.19
article

Secure and Efficient Mutual Authentication Protocol for VANETs Using Edge Computing and Signature-Based Cryptography

Md Asri Ngadi, Rami Shehab, ‪Mahmood A. Al-Shareeda‬‏, Abdulnasser AbdulJabbar Abbood, Faris K. AL-Shammri, Mohammed Amin Almaiah, Abdulaziz Zaid A. Aljarwan, Zainab Marid Alzamili
article en
3 citations

Abstract

Security in vehicular ad-hoc networks (VANETs) as a result, vehicular ad-hoc networks (VANETs) need to adopt and implement strong security protocols respective to vehicle-tovehicle and vehicle-to-infrastructure communication. But state-ofthe-art authentication methods have drawbacks like computational overhead, scalability issues, and susceptibility to identity stealing, replay attacks and data manipulation. To mitigate these issues, we present an innovative protocol for mutual authentication in edge computing assisted VANEts by employing an elliptic curve signature-based to improve the security and performance of the protocol. The proposed scheme guarantees low-latency authenticated by offloading computation tasks to edge nodes and simultaneously provides conditional privacy-preserving vehicle tracing for law enforcement. Formal security verification using ProVerif shows to be resilient towards replays, man-in-the-middle and eavesdropping attacks. Simulation results also show that the proposed protocol achieves highly efficient computational and communication overhead in comparison with current approaches. The performance results are promising and therefore, the proposed scheme can I be considered as practical and scalable for realistic applications in VANET.

Journal of Robotics and Control (JRC)Vol. 6(2)
University of Jordan (JO), Thi Qar University (IQ), University of Ha'il (SA), Iraq University College (IQ), Southern Technical University (IQ), University of Warith Al-Anbiyaa, University of Technology Malaysia (MY), King Faisal University (SA)
King Faisal University
Openalex Percentile: Top 12%
Vehicular Ad Hoc Networks (VANETs)
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.