RSU-Based Online Intrusion Detection and Mitigation for VANET.

Y Yilmaz, A Haydari - Diversity, 2022 - escholarship.org
Secure vehicular communication is a critical factor for secure traffic management. Effective
security in intelligent transportation systems (ITS) requires effective and timely intrusion …

Artificial intelligence (AI) empowered anomaly detection for autonomous vehicles in 6G-V2X

IA Kandhro, F Ali, AO Panhwar… - … Research Journal Of …, 2023 - search.informit.org
The development of advanced Intelligent Transportation Systems has been made possible
by the rapid expansion of autonomous vehicles (AVs) and networking technology (ITS). The …

Intrusion Detection System for Smart Vehicles Using Machine Learning Algorithms

N Singh, R Agarwal - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
As Electric Vehicles (EV s) become more prevalent, the need to protect their complicated
and associated systems from cyber threats which vital necessity. It is critical to ensure the …

[HTML][HTML] Misbehavior detection in intelligent transportation systems based on federated learning

EM Campos, JL Hernandez-Ramos, AG Vidal… - Internet of Things, 2024 - Elsevier
Misbehavior detection represents a key security approach in vehicular scenarios to identify
attacks that cannot be detected by traditional cryptographic mechanisms. In this context, the …

A misbehavior detection system to detect novel position falsification attacks in the internet of vehicles

HS Ilango, M Ma, R Su - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract In the Internet of Vehicle (IoV) networks, vehicles exchange periodic Basic Safety
Messages (BSMs) containing information regarding speed and position. Safety-critical …

Local perception and bsm based misbehavior detection in intelligent transportation system

S Gyawali, T Shimizu, H Lu, M Clifford… - 2022 IEEE 96th …, 2022 - ieeexplore.ieee.org
An intelligent transportation system aims to provide various traffic safety and navigation
services, and mainly relies on local perception and vehicular communication technologies …

Machine learning-based intrusion detection system for big data analytics in VANET

M Zang, Y Yan - 2021 IEEE 93rd vehicular technology …, 2021 - ieeexplore.ieee.org
Attacks as Distributed Denial of Service (DDoS) are ones of the most frequent vehicle
cybersecurity threats. In this paper, we propose a Machine Learning-based Intrusion …

[HTML][HTML] A fuzzy-based context-aware misbehavior detecting scheme for detecting rogue nodes in vehicular ad hoc network

FA Ghaleb, F Saeed, EH Alkhammash, NS Alghamdi… - Sensors, 2022 - mdpi.com
A vehicular ad hoc network (VANET) is an emerging technology that improves road safety,
traffic efficiency, and passenger comfort. VANETs' applications rely on co-operativeness …

DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning

MH Khan, AR Javed, Z Iqbal, M Asim, AI Awad - Computers & Security, 2024 - Elsevier
The controller area network (CAN) protocol is a critical communication mechanism in
vehicular systems. However, the widespread adoption of this protocol has introduced …

Fuzzy clustering for misbehaviour detection in VANET

H Amirat, N Lagraa, CA Kerrach… - … Conference on Smart …, 2018 - ieeexplore.ieee.org
Security in Vehicular Ad Hoc Networks (VANETs) has become a hot research area due to its
life-saving characteristic. It mainly depends on the reliability of data exchanged by vehicles …