Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks

A Alsarhan, M Alauthman, E Alshdaifat… - Journal of Ambient …, 2023 - Springer
Abstract Machine learning (ML) driven solutions have been widely used to secure wireless
communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing …

Machine learning-driven optimization for intrusion detection in smart vehicular networks

A Alsarhan, AR Al-Ghuwairi, IT Almalkawi… - Wireless Personal …, 2021 - Springer
An essential element in the smart city vision is providing safe and secure journeys via
intelligent vehicles and smart roads. Vehicular ad hoc networks (VANETs) have played a …

Trust aware support vector machine intrusion detection and prevention system in vehicular ad hoc networks

EA Shams, A Rizaner, AH Ulusoy - Computers & Security, 2018 - Elsevier
As a mean to improve safety and convenience on the road, Vehicular Ad Hoc Networks
(VANETs) provide various advantages to passengers. However, considering that it is a …

[HTML][HTML] Classification approach for intrusion detection in vehicle systems

A Alshammari, MA Zohdy, D Debnath… - Wireless Engineering and …, 2018 - scirp.org
Vehicular ad hoc networks (VANETs) enable wireless communication among Vehicles and
Infrastructures. Connected vehicles are promising in Intelligent Transportation Systems …

Intelligent intrusion detection system for VANET using machine learning and deep learning approaches

B Karthiga, D Durairaj, N Nawaz… - Wireless …, 2022 - Wiley Online Library
Detecting the attacks in Vehicular Ad hoc Network (VANET) system is very important to
provide more secure and reliable communication between all vehicles in the system. In this …

Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset

AR Gad, AA Nashat, TM Barkat - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent
transportation system (ITS) that enables vehicles to communicate over the wireless …

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 …

A novel Intrusion Detection System for Vehicular Ad Hoc Networks (VANETs) based on differences of traffic flow and position

J Liang, J Chen, Y Zhu, R Yu - Applied Soft Computing, 2019 - Elsevier
Vehicle ad hoc networks (VANETs) have attracted great interests from both industry and
academia, but a number of issues, particularly security, have not been readily addressed …

A hybrid data-driven model for intrusion detection in VANET

H Bangui, M Ge, B Buhnova - Procedia Computer Science, 2021 - Elsevier
Abstract Nowadays, VANET (Vehicular Ad-hoc NETwork) has gained increasing attention
from many researchers with its various applications, such as enhancing traffic safety by …

A game theory based multi layered intrusion detection framework for VANET

B Subba, S Biswas, S Karmakar - Future Generation Computer Systems, 2018 - Elsevier
Abstract Vehicular Ad-hoc Networks (VANETs) are vulnerable to various type of network
attacks like Blackhole attack, Denial of Service (DoS), Sybil attack etc. Intrusion Detection …