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 …
research field as it can prevent serious damage within the network and enhance security …
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 …
real-world malicious detector capable of detecting attacks in real-time and unveiling their …
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 …
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
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 …
traffic congestion by enhancing sharing of messages about road conditions. Communication …
A machine learning framework for intrusion detection in VANET communications
N Ben Rabah, H Idoudi - Emerging trends in cybersecurity applications, 2022 - Springer
Intelligent transportation system (ITS) is a promising technology to enhance driving safety
and efficiency within smart cities. It involves public transportation management, infrastructure …
and efficiency within smart cities. It involves public transportation management, infrastructure …
[PDF][PDF] Ensemble Learning Based Malicious Node Detection in SDN-Based VANETs.
K Vermani, A Noliya, S Kumar… - Journal of Information …, 2023 - e-journal.unair.ac.id
Abstract Background: The architecture of Software Defined Networking (SDN) integrated
with Vehicular Ad-hoc Networks (VANETs) is considered a practical method for handling …
with Vehicular Ad-hoc Networks (VANETs) is considered a practical method for handling …
Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques
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 …
has excellent potential application in intelligent transportation systems. The cyberattack on …
An adaptive real-time malicious node detection framework using machine learning in vehicular ad-hoc networks (VANETs)
Modern vehicle communication development is a continuous process in which cutting-edge
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …
Intelligent defense strategies: Comprehensive attack detection in VANET with deep reinforcement learning
Abstract Vehicular Ad Hoc Network (VANET) facilitates the exchange of vehicular
information through Vehicle-to-Vehicle (V2V) communication, contributing to Cooperative …
information through Vehicle-to-Vehicle (V2V) communication, contributing to Cooperative …
Performance Evaluation of Machine Learning-Based Misbehavior Detection Systems in VANETs: A Comprehensive Study
In recent years, the deployment of Vehicular Ad hoc Networks (VANETs) has gained
significant attention due to their potential to enhance road safety and traffic efficiency …
significant attention due to their potential to enhance road safety and traffic efficiency …