A Decentralized, Secure, and Reliable Vehicle Platoon Formation With Privacy Protection for Autonomous Vehicles

Vehicle platooning enables vehicles to drive cooperatively on highways and motorways. This is to weigh numerous benefits such as lesser fuel consumption, safe drive and better road utilization. The main research focus of vehicle platoons is secure and dynamic platoon formation and ensuring privacy of vehicular data. Platoons are not safe from cyber-attacks and key is to safeguard the platoons from different known/unknown cyber threats. This paper introduces a dynamic and secure platoon formation technique targeting three different vehicle conditions on road. While the private credentials of CAVs is protected using zk-SNARK encryption protocol through permissioned Blockchain. The proposed system has been evaluated for its performance against DDoS and impersonation attack. Platoon formation time has been compared with other benchmarks and shows better results. While the performance against DDoS and impersonation attacks in comparison to the benchmarks is also improved. Since the limitation of zk-SNARK is it takes time to generate a proof and this has been also the focus of this study. The protocol has been fine tuned to adjust its parameters so that it could generate proof in less possible time.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-02-20
DOI
https://doi.org/10.1109/tits.2025.3537765
Citations
4
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
4.86

Funders

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

A Decentralized, Secure, and Reliable Vehicle Platoon Formation With Privacy Protection for Autonomous Vehicles

Amjad Mehmood, Rabia Khan, Houbing Song, Carsten R. Maple
4 citations
IEEE Transactions on Intelligent Transportation Systems
Traffic control and management
4.86
article

A Decentralized, Secure, and Reliable Vehicle Platoon Formation With Privacy Protection for Autonomous Vehicles

Amjad Mehmood, Rabia Khan, Houbing Song, Carsten R. Maple
article en
4 citations

Abstract

Vehicle platooning enables vehicles to drive cooperatively on highways and motorways. This is to weigh numerous benefits such as lesser fuel consumption, safe drive and better road utilization. The main research focus of vehicle platoons is secure and dynamic platoon formation and ensuring privacy of vehicular data. Platoons are not safe from cyber-attacks and key is to safeguard the platoons from different known/unknown cyber threats. This paper introduces a dynamic and secure platoon formation technique targeting three different vehicle conditions on road. While the private credentials of CAVs is protected using zk-SNARK encryption protocol through permissioned Blockchain. The proposed system has been evaluated for its performance against DDoS and impersonation attack. Platoon formation time has been compared with other benchmarks and shows better results. While the performance against DDoS and impersonation attacks in comparison to the benchmarks is also improved. Since the limitation of zk-SNARK is it takes time to generate a proof and this has been also the focus of this study. The protocol has been fine tuned to adjust its parameters so that it could generate proof in less possible time.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(5)
Kohat University of Science and Technology (PK), University of Warwick (GB), University of Maryland, Baltimore County (US)
Engineering and Physical Sciences Research Council
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Traffic control and management
4.86
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.

A Decentralized, Secure, and Reliable Vehicle Platoon Formation With Privacy Protection for Autonomous Vehicles — Amjad Mehmood, Rabia Khan, et al. · IEEE Transactions on Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS