[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 …
A machine-learning-based data-centric misbehavior detection model for internet of vehicles
P Sharma, H Liu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) boosts road safety, efficiency, and infotainment by connecting
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …
A misbehavior detection system to detect novel position falsification attacks in the internet of vehicles
Abstract In the Internet of Vehicle (IoV) networks, vehicles exchange periodic Basic Safety
Messages (BSMs) containing information regarding speed and position. Safety-critical …
Messages (BSMs) containing information regarding speed and position. Safety-critical …
A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
Falsification detection system for IoV using randomized search optimization ensemble algorithm
Falsification detection is a critical advance in ensuring that real-time information about
vehicles and their movement states is certified on the Internet of Vehicles (IoV). Thus …
vehicles and their movement states is certified on the Internet of Vehicles (IoV). Thus …
[HTML][HTML] Novel hyper-tuned ensemble random forest algorithm for the detection of false basic safety messages in internet of vehicles
Detection of nodes disseminating false data is a prerequisite for effective deployment of
Internet of Vehicles (IoV) services. This work proposed a novel hyper-tuned ensemble …
Internet of Vehicles (IoV) services. This work proposed a novel hyper-tuned ensemble …
Reinforcement learning-based misbehaviour detection in V2X scenarios
R Sedar, C Kalalas, F Vázquez-Gallego… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Emerging vehicle-to-everything (V2X) services rely on the secure exchange of periodic
messages between vehicles and between vehicles and infrastructure. However …
messages between vehicles and between vehicles and infrastructure. However …
Privacy preserving misbehavior detection in IoV using federated machine learning
Data falsification attack in Vehicular Ad hoc Networks (VANET) for the Internet of Vehicles
(IoV) is achieved by corrupting the data exchanged between nodes with false information …
(IoV) is achieved by corrupting the data exchanged between nodes with false information …
Misbehavior detection based on multi-head deep learning for V2X network security
H Aliev, HW Kim - … on Consumer Electronics-Asia (ICCE-Asia), 2021 - ieeexplore.ieee.org
Misbehavior detection in vehicular networks is an important field of research that focuses on
designing and developing mechanisms to detect anomalous behaviors pertaining to vehicle …
designing and developing mechanisms to detect anomalous behaviors pertaining to vehicle …
Federated Learning-based Misbehaviour detection on an emergency message dissemination scenario for the 6G-enabled Internet of Vehicles
LJ Vinita, V Vetriselvi - Ad Hoc Networks, 2023 - Elsevier
With the 6G-enabled Internet of Vehicles (IoV), the Intelligent Transportation System (ITS)
uses new communication technologies and smart data analysis to make transportation …
uses new communication technologies and smart data analysis to make transportation …