Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-Hoc Network (VANET) Communications

TN Canh, X HoangVan - 2023 RIVF International Conference …, 2023 - ieeexplore.ieee.org
With the rapid growth of Vehicle Ad-hoc Network (VANET) as a promising technology for
efficient and reliable communication among vehicles and infrastructure, the security and …

A dual approach for preventing blackhole attacks in vehicular ad hoc networks using statistical techniques and supervised machine learning

A Acharya, J Oluoch - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Vehicular Ad Hoc Networks (VANETs) have the potential to improve road safety and reduce
traffic congestion by enhancing sharing of messages about road conditions. Communication …

Implementation of Genetic Algorithm for Detecting and Eliminating Blackhole Attack in Vehicular Ad-Hoc Network

G Dangat, S Murugan - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
One of the popular networks highly used for creating various Adhoc network applications is
Mobile Ad hoc Networks, which are vulnerable to various security attacks, one of which is …

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 …

[PDF][PDF] A study on Discovering and Addressing Black Hole Threats in VANETs

S Mallick, JM Sahoo - fuzzy-tversu.com
Abstract Vehicular Ad hoc Networks (VANETs) combine ad hoc networking, wireless LAN,
and cellular technology to enable intelligent Inter-Vehicle Communications (IVC) and …

ADVENT: Attack/Anomaly Detection in VANETs

H Baharlouei, A Makanju, N Zincir-Heywood - arXiv preprint arXiv …, 2024 - arxiv.org
In the domain of Vehicular Ad hoc Networks (VANETs), where the imperative of having a
real-world malicious detector capable of detecting attacks in real-time and unveiling their …

Collaborative detection of black hole and gray hole attacks for secure data communication in VANETs

S Younas, F Rehman, T Maqsood, S Mustafa… - Applied Sciences, 2022 - mdpi.com
Vehicle ad hoc networks (VANETs) are vital towards the success and comfort of self-driving
as well as semi-automobile vehicles. Such vehicles rely heavily on data management and …

Recent advances in machine-learning driven intrusion detection in transportation: Survey

H Bangui, B Buhnova - Procedia Computer Science, 2021 - Elsevier
Abstract Rapid developments in Intelligent Transportation Systems (ITSs) have emerged as
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …

Incremental Online Machine Learning for Detecting Malicious Nodes in Vehicular Communications Using Real-Time Monitoring

S Ajjaj, S El Houssaini, M Hain, MA El Houssaini - Telecom, 2023 - mdpi.com
Detecting malicious activities in Vehicular Ad hoc Networks (VANETs) is an important
research field as it can prevent serious damage within the network and enhance security …

Malicious Node Detection in VANETs via Enhanced DSR and ML

AN Palaniappan, J Pranav… - 2024 International …, 2024 - ieeexplore.ieee.org
Being vulnerable to various security threats like other wireless networks, Vehicular Ad-hoc
Networks (VANETs) need an effective intrusion detection system to ensure security in …