Machine learning-based architecture for DDoS detection in VANETs system
N Alkadiri, M Ilyas - … on Artificial Intelligence of Things (ICAIoT), 2022 - ieeexplore.ieee.org
With the fast and huge vehicular communication systems currently being developed, there is
a clear and urgent need for advanced security. To determine whether a vehicle has been …
a clear and urgent need for advanced security. To determine whether a vehicle has been …
Improving vanets system security against DDOS attacks by using machine-learning algorithm
NMY Alkadiri - 2023 - openaccess.altinbas.edu.tr
With the fast and huge vehicular communication systems currently being developed, there is
a clear and urgent need for advanced security to determine whether a vehicle has been …
a clear and urgent need for advanced security to determine whether a vehicle has been …
Machine learning techniques to detect DDoS attacks on VANET system: A survey
AM Alrehan, FA Alhaidari - 2019 2nd International Conference …, 2019 - ieeexplore.ieee.org
Road traffic accidents and their sequences increase dramatically worldwide and thus raising
a demand for solutions to providing safety and control of vehicles on road when driving. This …
a demand for solutions to providing safety and control of vehicles on road when driving. This …
MSOM: efficient mechanism for defense against DDoS attacks in VANET
M Al-Mehdhara, N Ruan - Wireless Communications and …, 2021 - Wiley Online Library
The wireless nature of the Vehicular Ad Hoc Network (VANET), a technology that offers
facilities such as traffic management and safety services, makes it vulnerable to distributed …
facilities such as traffic management and safety services, makes it vulnerable to distributed …
Dataset for evaluation of ddos attacks detection in vehicular ad-hoc networks
Vehicular ad-hoc networks (VANETs) are core components of the cooperative intelligent
transportation system (C-ITS). Vehicles communicate with each other to obtain traffic …
transportation system (C-ITS). Vehicles communicate with each other to obtain traffic …
DoS Attack Detection in VANET using Transfer Learning Approach for BSM Data
In vehicular ad hoc networks (VANETs), vehicles exchange sensitive information, including
vehicle identity, position, speed, heading and other parameters, with nearby vehicles or …
vehicle identity, position, speed, heading and other parameters, with nearby vehicles or …
Hybrid algorithm to detect DDoS attacks in VANETs
Security and safety are fundamental issues in any wireless network. The problem becomes
serious when the specified network is Vehicular Adhoc Network (VANET). VANET faces …
serious when the specified network is Vehicular Adhoc Network (VANET). VANET faces …
[PDF][PDF] Machine learning approach of hybrid KSVN algorithm to detect DDoS attack in VANET
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 …
communication pattern and changing network topology characteristics, these types of …
Towards the development of realistic dos dataset for intelligent transportation systems
R Rahal, A Amara Korba, N Ghoualmi-Zine - Wireless Personal …, 2020 - Springer
Vehicular ad-hoc networks (VANETs) present security vulnerabilities, which make them
prone to diverse cyberattacks. Denial of Service (DoS) is one of the most prevalent and …
prone to diverse cyberattacks. Denial of Service (DoS) is one of the most prevalent and …
Distributed neural network based architecture for DDOS detection in vehicular communication systems
N Jaton - 2021 - digitalcommons.unl.edu
With the continued development of modern vehicular communication systems, there is an
ever growing need for cutting edge security in these systems. A misbehavior detection …
ever growing need for cutting edge security in these systems. A misbehavior detection …