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 …

A comprehensive survey of the key technologies and challenges surrounding vehicular ad hoc networks

Z Xia, J Wu, L Wu, Y Chen, J Yang, PS Yu - ACM Transactions on …, 2021 - dl.acm.org
Vehicular ad hoc networks (VANETs) and the services they support are an essential part of
intelligent transportation. Through physical technologies, applications, protocols, and …

Collaborative learning based sybil attack detection in vehicular ad-hoc networks (vanets)

S Azam, M Bibi, R Riaz, SS Rizvi, SJ Kwon - Sensors, 2022 - mdpi.com
Vehicular Ad-hoc network (VANET) is an imminent technology having both exciting
prospects and substantial challenges, especially in terms of security. Due to its distributed …

Security in edge-centric intelligent internet of vehicles: Issues and remedies

M Adhikari, A Munusamy, A Hazra… - IEEE Consumer …, 2021 - ieeexplore.ieee.org
Propelled by the growth of automotive industry, and the ubiquity of smart sensors, intelligent
transport systems such as the Internet of Vehicles (IoV) have seen significant research …

Federated learning-based scheme for detecting passive mobile attackers in 5G vehicular edge computing

A Boualouache, T Engel - Annals of Telecommunications, 2022 - Springer
Detecting passive attacks is always considered difficult in vehicular networks. Passive
attackers can eavesdrop on the wireless medium to collect beacons. These beacons can be …

Sybil attack detection and secure data transmission in VANET using CMEHA-DNN and MD5-ECC

NC Velayudhan, A Anitha, M Madanan - Journal of Ambient Intelligence …, 2023 - Springer
Vehicular ad-hoc networks (VANET) technology, which is an open-access network, renders
a quick, simple to deploy, and cheap solution for intelligent traffic control as well as traffic …

[PDF][PDF] Machine learning approach of hybrid KSVN algorithm to detect DDoS attack in VANET

N Kadam, RS Krovi - International Journal of Advanced …, 2021 - pdfs.semanticscholar.org
Most of the self-driving vehicles are suspect of the of the different types attacks due to its
communication pattern and changing network topology characteristics, these types of …

Detection method to eliminate Sybil attacks in Vehicular Ad-hoc Networks

Z Zhang, Y Lai, Y Chen, J Wei, Y Wang - Ad Hoc Networks, 2023 - Elsevier
A Sybil attack is caused by a malicious vehicle node stealing fake identities and
continuously generating fake vehicles on the road to create the illusion of congestion, which …

An optimisation driven deep residual network for Sybil attack detection with reputation and trust-based misbehaviour detection in VANET

NC Velayudhan, A Anitha… - Journal of Experimental & …, 2022 - Taylor & Francis
ABSTRACT Vehicular Ad hoc Network (VANET) has recently gained significant attention as
a means of enhancing the mobility, efficiency, and safety of applications in the intelligent …

Secure vehicular platoon management against sybil attacks

DR Junaidi, M Ma, R Su - Sensors, 2022 - mdpi.com
The capacity of highways has been an ever-present constraint in the 21st century, bringing
about the issue of safety with greater likelihoods of traffic accidents occurring. Furthermore …