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 …
[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 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 …
Real-time position falsification attack detection system for internet of vehicles
Ensuring secured and reliable dissemination of information for a mission-critical system
such as the Internet of Vehicle (IoV) in real-time is of utmost importance. In this work, a False …
such as the Internet of Vehicle (IoV) in real-time is of utmost importance. In this work, a False …
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 …
Deep learning to improve false data injection attack detection in cooperative intelligent transportation systems
SA Almalki, FT Sheldon - 2021 IEEE 12th Annual Information …, 2021 - ieeexplore.ieee.org
This work proposes a local-global fuzzy-clustering feature extraction scheme for detecting
False Data Injection Attacks (FDIA). In this scheme, the data undergo several pre-processing …
False Data Injection Attacks (FDIA). In this scheme, the data undergo several pre-processing …
Edge computing and blockchain for quick fake news detection in IoV
Y Xiao, Y Liu, T Li - Sensors, 2020 - mdpi.com
The dissemination of false messages in Internet of Vehicles (IoV) has a negative impact on
road safety and traffic efficiency. Therefore, it is critical to quickly detect fake news …
road safety and traffic efficiency. Therefore, it is critical to quickly detect fake news …
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 …
Machine learning based misbehaviour detection in VANET using consecutive BSM approach
A Sharma, A Jaekel - IEEE Open Journal of Vehicular …, 2021 - ieeexplore.ieee.org
Vehicular ad-hoc network (VANET) is an emerging technology for vehicle-to-vehicle
communication vital for reducing road accidents and traffic congestion in an Intelligent …
communication vital for reducing road accidents and traffic congestion in an Intelligent …