Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET

GO Anyanwu, CI Nwakanma, JM Lee… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …

RBF-SVM kernel-based model for detecting DDoS attacks in SDN integrated vehicular network

GO Anyanwu, CI Nwakanma, JM Lee, DS Kim - Ad Hoc Networks, 2023 - Elsevier
The development of the intelligent transport space (ITS) comes with the challenge of
securing transportation data. As the vehicular network is highly dynamic, the network …

MDFD: A multi-source data fusion detection framework for Sybil attack detection in VANETs

Y Chen, Y Lai, Z Zhang, H Li, Y Wang - Computer Networks, 2023 - Elsevier
Abstract Sybil attacks in Vehicular Ad-Hoc Networks (VANETs) conduct malicious behavior
by falsifying and faking messages between vehicles. It poses a significant threat to the safety …

BurST-ADMA: Towards an Australian dataset for misbehaviour detection in the internet of vehicles

MA Amanullah, MB Chhetri, SW Loke… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a major contributor to Cooperative Intelligent Transportation
Systems (C-ITS) as it enables intercommunication between the connected vehicles and the …

[HTML][HTML] Feature engineering impact on position falsification attacks detection in vehicular ad-hoc network

E Abdelkreem, S Hussein, A Tammam - International Journal of …, 2024 - Springer
The vehicular ad-hoc network is a technology that enables vehicles to interact with each
other and the surrounding infrastructure, aiming to enhance road safety and driver comfort …

[HTML][HTML] Misbehavior detection in intelligent transportation systems based on federated learning

EM Campos, JL Hernandez-Ramos, AG Vidal… - Internet of Things, 2024 - Elsevier
Misbehavior detection represents a key security approach in vehicular scenarios to identify
attacks that cannot be detected by traditional cryptographic mechanisms. In this context, the …

Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models

EM Campos, AG Vidal, JLH Ramos… - arXiv preprint arXiv …, 2024 - arxiv.org
Federated Learning (FL) has become an attractive approach to collaboratively train Machine
Learning (ML) models while data sources' privacy is still preserved. However, most of …

SVMDformer: A Semi-Supervised Vehicular Misbehavior Detection Framework Based on Transformer in IoV

Z Liu, H Xu, Y Kuang, F Li - 2023 IEEE 43rd International …, 2023 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) based technologies have become an important research topic
to solve the problem of road congestion and traffic accidents. However, the rapid growth of …

RSU-Based Intrusion Detection and Autonomous Intersection Response Systems

PJ Yurkovich - 2022 - vtechworks.lib.vt.edu
Vehicular safety and efficiency has been an ongoing research topic since the creation of the
automobile. Despite this, deaths due to vehicular accidents are still extremely common, with …

Towards Robust AI Model for Cyber-Physical Intelligent Transportation Systems by Hash-Based Ensemble Learning

K Hasan, V Guduru, S Zein-Sabatto… - 2023 IEEE Latin …, 2023 - ieeexplore.ieee.org
In the evolving landscape of vehicular technology, autonomous and connected features lead
to heightened connectivity among vehicles, intelligent devices, and infrastructures …