An Intrusion Detection System Using the XGBoost Algorithm for SDVN

A El-Dalahmeh, J Li, G El-Dalahmeh… - UK Workshop on …, 2023 - Springer
Vehicular ad hoc networks (VANETs) rely on Software-Defined Networking (SDN) to enable
continuous exchange of information and messages about vehicle and road conditions. This …

Sustainable intrusion detection in vehicular controller area networks using machine intelligence paradigm

AA Metwaly, I Elhenawy - Sustainable Machine Intelligence …, 2023 - sciencesforce.com
The advent of smart mobility and the proliferation of connected vehicles have introduced
new challenges in securing Vehicular Controller Area Networks (CANs) against cyber …

An Optimized Graph Neural Network-Based Approach for Intrusion Detection in Smart Vehicles

P Zambare, Y Liu - IFIP International Internet of Things Conference, 2023 - Springer
Due to recent developments in vehicle networks (VNs), more and more people want their
electric cars to have access to sophisticated networking features and perform a variety of …

Enhanced Intrusion Detection in In-Vehicle Networks using Advanced Feature Fusion and Stacking-Enriched Learning

A Altalbe - IEEE Access, 2023 - ieeexplore.ieee.org
Modern vehicles rely heavily on interconnected electronic control units (ECUs) through in-
vehicle networks to perform crucial functions such as braking and monitoring engine RPMs …

Attacks to automatous vehicles: A deep learning algorithm for cybersecurity

THH Aldhyani, H Alkahtani - Sensors, 2022 - mdpi.com
Rapid technological development has changed drastically the automotive industry. Network
communication has improved, helping the vehicles transition from completely machine-to …

Comparative study of ensemble learning techniques for fuzzy attack detection in in-vehicle networks

D Swessi, H Idoudi - International Conference on Advanced Information …, 2022 - Springer
Nowadays, vehicles have become more complex due to the increased number of electronic
control units communicating through in-vehicle networks. Controller area network (CAN) is …

[PDF][PDF] Intrusion Detection for In-Vehicle CAN Communication Using Deep Neural Networks

F Sundfeldt, B Widstam - 2024 - lup.lub.lu.se
As the automotive industry progresses with the development of connected vehicles, this
digital evolution comes with inherent cyber security risks and thus securing vehicle …

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 …

DivaCAN: Detecting in-vehicle intrusion attacks on a controller area network using ensemble learning

MH Khan, AR Javed, Z Iqbal, M Asim, AI Awad - Computers & Security, 2024 - Elsevier
The controller area network (CAN) protocol is a critical communication mechanism in
vehicular systems. However, the widespread adoption of this protocol has introduced …

IDS-XGbFS: a smart intrusion detection system using XGboostwith recent feature selection for VANET safety

S Amaouche, AzidineGuezzaz, S Benkirane… - Cluster …, 2024 - Springer
Abstract The Vehicular Ad Hoc Network (VANET) is a novel and innovative technology
which is part of the Intelligent Transportation Systems (ITS). VANET is a network composed …