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 …
transportation system (ITS) that enables vehicles to communicate over the wireless …
[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 …
Infrastructures. Connected vehicles are promising in Intelligent Transportation Systems …
A hybrid data-driven model for intrusion detection in VANET
Abstract Nowadays, VANET (Vehicular Ad-hoc NETwork) has gained increasing attention
from many researchers with its various applications, such as enhancing traffic safety by …
from many researchers with its various applications, such as enhancing traffic safety by …
Recent advances in machine-learning driven intrusion detection in transportation: Survey
Abstract Rapid developments in Intelligent Transportation Systems (ITSs) have emerged as
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …
A hybrid machine learning model for intrusion detection in VANET
Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …
communication and traffic information exchange, VANET is also vulnerable to different …
A game theory based multi layered intrusion detection framework for VANET
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 …
attacks like Blackhole attack, Denial of Service (DoS), Sybil attack etc. Intrusion Detection …
Artificial intelligence (AI)-empowered intrusion detection architecture for the internet of vehicles
Recent advances in the Internet of Things (IoT) and the adoption of IoT in vehicular networks
have led to a new and promising paradigm called the Internet of Vehicles (IoV). However …
have led to a new and promising paradigm called the Internet of Vehicles (IoV). However …
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 …
provide more secure and reliable communication between all vehicles in the system. In this …
FSCB-IDS: Feature selection and minority class balancing for attacks detection in VANETS
Vehicular ad hoc networks (VANETs) are used for vehicle to vehicle (V2V) and vehicle to
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …
Machine learning for security in vehicular networks: A comprehensive survey
A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …
effective solutions for a wide range of application domains. An important application domain …