[PDF][PDF] A machine learning-based attack detection and prevention system in vehicular named data networking
ABSTRACT Named Data Networking (NDN) is gaining a significant attention in Vehicular Ad-
hoc Networks (VANET) due to its in-network content caching, name-based routing, and …
hoc Networks (VANET) due to its in-network content caching, name-based routing, and …
[PDF][PDF] Novel Intelligent BSM Falsification Attack Detection System Using Trusted Neighbor Vehicle Approach in IoV
The proliferation of cyberattacks has emerged as a significant obstacle for advancing
technologies such as the Internet of Things (IoT) and Internet of Vehicles (IoV) in recent …
technologies such as the Internet of Things (IoT) and Internet of Vehicles (IoV) in recent …
Misbehavior detection with spatio-temporal graph neural networks
Abstract Graph Neural Networks (GNNs) gained the attention of researchers following
advancements in Representational Learning. Unlike classical machine learning (ML) …
advancements in Representational Learning. Unlike classical machine learning (ML) …
[PDF][PDF] Machine Learning Based Misbehavior Detection System for False Data Injection Attack in Internet of Vehicles Using Neighbor Public Transport Vehicle …
The integration of the Internet of Vehicles (IoV) into the Intelligent Transportation System
(ITS) has significantly improved its operations, leading to a reduction in road traffic …
(ITS) has significantly improved its operations, leading to a reduction in road traffic …
[PDF][PDF] Explaining Machine Learning Based Speed Anomaly Detection System Using eXplainable Artificial Intelligence
The goal of combating road accidents through the application of advanced communication
and network technologies in transportation system called intelligent transportation system …
and network technologies in transportation system called intelligent transportation system …