Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs)

A Mchergui, T Moulahi, S Zeadally - Vehicular Communications, 2022 - Elsevier
Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …

A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks

A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …

An effective intrusion detection approach using SVM with naïve Bayes feature embedding

J Gu, S Lu - Computers & Security, 2021 - Elsevier
Network security has become increasingly important in recent decades, while intrusion
detection system plays a critical role in protecting it. Various machine learning techniques …

Trust in VANET: A survey of current solutions and future research opportunities

R Hussain, J Lee, S Zeadally - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
Security and privacy will play a pivotal role in the commercialization of Vehicular Ad-hoc
NETworks (VANETs). Traditionally, both cryptographic and non-cryptographic approaches …

Misbehavior detection for position falsification attacks in VANETs using machine learning

S Ercan, M Ayaida, N Messai - IEEE Access, 2021 - ieeexplore.ieee.org
Cooperative Intelligent Transport Systems (C-ITS) is an advanced technology for road safety
and traffic efficiency over Vehicular Ad Hoc Networks (VANETs) allowing vehicles to …

Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET

GO Anyanwu, CI Nwakanma, JM Lee… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …

A hybrid machine learning model for intrusion detection in VANET

H Bangui, M Ge, B Buhnova - Computing, 2022 - Springer
Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …

Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …

A survey of trust management in the Internet of Vehicles

A Hbaieb, S Ayed, L Chaari - Computer Networks, 2022 - Elsevier
In recent years, the emergence of the Internet of Vehicles (IoV) aims to enhance the users'
quality of experience through proposing more sophisticated services ranging from …

A QoS aware cluster head selection and hybrid cryptography routing protocol for enhancing efficiency and security of VANETs

MA Jubair, SA Mostafa, DA Zebari, HM Hariz… - IEEE …, 2022 - ieeexplore.ieee.org
Nowadays, VANET (Vehicular Ad hoc Network) is one of the key aspects of developing
advanced intelligent transportation systems. Due to its huge mobility and rapid topology …