Enhancing road safety through misbehaviour detection in vehicle‐to‐everything systems of Korea

Abstract Vehicle‐to‐everything communication systems play a crucial role in enhancing road safety and traffic efficiency through vehicle and roadside infrastructure interactions. To provide robust defences against external threats in secure and trustworthy information exchange, these systems utilise public key infrastructure to authenticate vehicle‐to‐everything participant identities with digital certificates and security credential management systems to administer these certificates and encryption keys. However, even with these defences, vulnerabilities persist, particularly from vehicles with legitimate certificates that may malfunction or be exploited for malicious purposes. To address these issues, this paper introduces a misbehaviour detection (MBD) system, notable for its combined use of local and global MBD algorithms. This system is specifically designed to combat both conventional and novel threats, including slander attacks, in which vehicles with legitimate certificates may be falsely accused, and sophisticated attacks targeting the global MBD system itself. The efficacy of our MBD system was rigorously validated at K‐City, the leading autonomous vehicle technology testing facility in Korea, demonstrating its ability to identify and counter internal misbehaviours precisely.

Authors

Institutions

Publication Details

Journal
IET Intelligent Transport Systems
Published
2024-08-23
DOI
https://doi.org/10.1049/itr2.12549
Citations
1
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.21

Funders

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

Enhancing road safety through misbehaviour detection in vehicle‐to‐everything systems of Korea

Sungwook Eom, Jung‐Wook Kim, Seung‐Young Park, Eunyoung Kim et al.
1 citations
IET Intelligent Transport Systems
Vehicular Ad Hoc Networks (VANETs)
0.21
article

Enhancing road safety through misbehaviour detection in vehicle‐to‐everything systems of Korea

Sungwook Eom, Jung‐Wook Kim, Seung‐Young Park, Eunyoung Kim, Sungbum Kim, Youngin Park, Seunghui Han, S.J. Lee
article en
1 citations

Abstract

Abstract Vehicle‐to‐everything communication systems play a crucial role in enhancing road safety and traffic efficiency through vehicle and roadside infrastructure interactions. To provide robust defences against external threats in secure and trustworthy information exchange, these systems utilise public key infrastructure to authenticate vehicle‐to‐everything participant identities with digital certificates and security credential management systems to administer these certificates and encryption keys. However, even with these defences, vulnerabilities persist, particularly from vehicles with legitimate certificates that may malfunction or be exploited for malicious purposes. To address these issues, this paper introduces a misbehaviour detection (MBD) system, notable for its combined use of local and global MBD algorithms. This system is specifically designed to combat both conventional and novel threats, including slander attacks, in which vehicles with legitimate certificates may be falsely accused, and sophisticated attacks targeting the global MBD system itself. The efficacy of our MBD system was rigorously validated at K‐City, the leading autonomous vehicle technology testing facility in Korea, demonstrating its ability to identify and counter internal misbehaviours precisely.

IET Intelligent Transport SystemsVol. 18(11)
Kangwon National University (KR), Korea Testing & Research Institute (KR), Korea Transportation Safety Authority
Korea Agency for Infrastructure Technology Advancement
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Vehicular Ad Hoc Networks (VANETs)
0.21
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.

Enhancing road safety through misbehaviour detection in vehicle‐to‐everything systems of Korea — Sungwook Eom, Jung‐Wook Kim, et al. · IET Intelligent Transport Systems (2024) | TGRS Research Map | TGRS