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 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 …
[HTML][HTML] Intelligent intrusion detection system for VANET using machine learning and deep learning approaches
B Karthiga, D Durairaj, N Nawaz… - … and Mobile Computing, 2022 - hindawi.com
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 …
Senior2local: A machine learning based intrusion detection method for vanets
Abstract Vehicular Ad-hoc Network (VANET) is a heterogeneous network of resource-
constrained nodes such as smart vehicles and Road Side Units (RSUs) communicating in a …
constrained nodes such as smart vehicles and Road Side Units (RSUs) communicating in 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 …
Infrastructures. Connected vehicles are promising in Intelligent Transportation Systems …
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 …
Synthetic datasets generation for intrusion detection in VANET
V Belenko, V Krundyshev, M Kalinin - Proceedings of the 11th …, 2018 - dl.acm.org
Inter-car network--a VANET (vehicular adhoc network)--enables wireless communication
between vehicles (V2V) and vehicle-to-infrastructure (V2X). The main goal of VANET is to …
between vehicles (V2V) and vehicle-to-infrastructure (V2X). The main goal of VANET is to …
A novel Intrusion Detection System for Vehicular Ad Hoc Networks (VANETs) based on differences of traffic flow and position
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 …
academia, but a number of issues, particularly security, have not been readily addressed …
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] An adaptive real-time malicious node detection framework using machine learning in vehicular ad-hoc networks (vanets)
Modern vehicle communication development is a continuous process in which cutting-edge
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …