[PDF][PDF] Vehicular Network Security Through Optimized Deep Learning Model with Feature Selection Techniques

FM Khan, T Rahman, A Zeb, ZA Haider, I Ullah - 2024 - researchgate.net
In recent years, vehicular ad hoc networks (VANETs) have faced growing security concerns,
particularly from Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks …

Vehicular network intrusion detection using a cascaded deep learning approach with multi-variant metaheuristic

A Manderna, S Kumar, U Dohare, M Aljaidi… - Sensors, 2023 - mdpi.com
Vehicle malfunctions have a direct impact on both human and road safety, making vehicle
network security an important and critical challenge. Vehicular ad hoc networks (VANETs) …

Improved IDS for Vehicular Ad-Hoc Network using Deep Learning Approaches

S Amutha, A Ramathilagam… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
In the contemporary landscape of transportation, Vehicular Adhoc networks (VANETs) have
emerged as a pivotal infrastructure, facilitating real-time communication among vehicles and …

Defense Mechanisms for Vehicular Networks: Deep Learning Approaches for Detecting DDoS Attacks.

RS Pramila, TPS VA - International Journal of Advanced …, 2024 - search.ebscohost.com
Abstract Vehicular Ad-hoc Networks (VANETs) are engineered to meet the distinctive
demands of vehicular communication, facilitating interactions between vehicles and …

Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques

WA Ali, M Roccotelli, G Boggia… - … Security Journal: A Global …, 2024 - Taylor & Francis
The vehicular ad-hoc network (VANET) is a new subcategory of mobile ad-hoc networks that
has excellent potential application in intelligent transportation systems. The cyberattack on …

Detection of DDoS attacks in SDN-based VANET using optimized TabNet

MA Setitra, M Fan - Computer Standards & Interfaces, 2024 - Elsevier
Abstract Vehicular Ad Hoc Network (VANET) serves as a crucial component in developing
the Intelligent Transport System (ITS), which provides a range of services expected to …

Metaheuristic optimized complex-valued dilated recurrent neural network for attack detection in internet of vehicular communications

P Balaji, K Cengiz, S Babu, O Alqahtani… - PeerJ Computer …, 2024 - peerj.com
Abstract The Internet of Vehicles (IoV) is a specialized iteration of the Internet of Things (IoT)
tailored to facilitate communication and connectivity among vehicles and their environment …

An Improved Deep Learning-Based Intrusion Detection for Reliable Communication in VANET

P Suman, S Padhy, N Kumar, A Suman… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The research area of Vehicular Ad-Hoc Network (VANET) is rapidly expanding for different
reasons. The main factors responsible for this are the unstable topology, fast vehicle …

A hybrid deep learning based enhanced and reliable approach for VANET intrusion detection system

A Barve, PS Patheja - Cluster Computing, 2024 - Springer
Advances in autonomous transportation technologies have profoundly influenced the
evolution of daily commuting and travel. These innovations rely heavily on seamless …

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 …