Biometric-Based Lightweight V2I Authentication and Key Exchange Protocol

With the swift progress and wide application of Vehicular Ad Hoc Network (VANET) technology, a massive number of vehicles have been integrated into the Internet of Vehicles (IoV) ecosystem. To access IoV services, vehicles increasingly engage in frequent vehicle-to-infrastructure (V2I) communications. During the driving process, vehicles must undergo authentication with Roadside Units (RSUs), where only verified legitimate identities are granted access to IoV services. However, the limited computational resources of RSUs often lead to authentication delays in vehicle-RSU interactions. To address these challenges, this paper proposes a biometric-based lightweight V2I authentication and key exchange protocol. In this scheme, after a vehicle completes initial authentication with the nearest RSU, it performs mutual authentication with subsequent RSUs based on the initial authentication, thereby avoiding redundant computations. The proposed scheme combines biometric technology and a two-stage authentication mechanism to ensure that the computational complexity of each entity is reduced without compromising security. This paper verifies the security of the solution through security analysis. In addition, performance analysis proves that compared with other solutions, this solution shows clear benefits when it comes to computational and communication costs.

Authors

Institutions

Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138828
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biometric-Based Lightweight V2I Authentication and Key Exchange Protocol

Beibei Han, Muhua Liu, Moli Zhang, Dongwei Li et al.
Vehicular Ad Hoc Networks (VANETs)
article

Biometric-Based Lightweight V2I Authentication and Key Exchange Protocol

Beibei Han, Muhua Liu, Moli Zhang, Dongwei Li, Hexiang Wang
article en

Abstract

With the swift progress and wide application of Vehicular Ad Hoc Network (VANET) technology, a massive number of vehicles have been integrated into the Internet of Vehicles (IoV) ecosystem. To access IoV services, vehicles increasingly engage in frequent vehicle-to-infrastructure (V2I) communications. During the driving process, vehicles must undergo authentication with Roadside Units (RSUs), where only verified legitimate identities are granted access to IoV services. However, the limited computational resources of RSUs often lead to authentication delays in vehicle-RSU interactions. To address these challenges, this paper proposes a biometric-based lightweight V2I authentication and key exchange protocol. In this scheme, after a vehicle completes initial authentication with the nearest RSU, it performs mutual authentication with subsequent RSUs based on the initial authentication, thereby avoiding redundant computations. The proposed scheme combines biometric technology and a two-stage authentication mechanism to ensure that the computational complexity of each entity is reduced without compromising security. This paper verifies the security of the solution through security analysis. In addition, performance analysis proves that compared with other solutions, this solution shows clear benefits when it comes to computational and communication costs.

Henan University of Science and Technology (CN)
Openalex Percentile: Top 76%
Vehicular Ad Hoc Networks (VANETs)
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.

Biometric-Based Lightweight V2I Authentication and Key Exchange Protocol — Beibei Han, Muhua Liu, et al. · (2025) | TGRS Research Map | TGRS