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 …
Machine learning based approach to detect position falsification attack in VANETs
PK Singh, S Gupta, R Vashistha, SK Nandi… - Security and Privacy …, 2019 - Springer
VANETs is a major enabling technology for connected and autonomous vehicles. Vehicles
communicate wirelessly with other vehicles, sensors, humans, and infrastructure, thereby …
communicate wirelessly with other vehicles, sensors, humans, and infrastructure, thereby …
New features for position falsification detection in vanets using machine learning
Misbehavior detection in VANETs is critical to provide security and road safety since the
communication between vehicles is directly affected by attackers' messages. A new …
communication between vehicles is directly affected by attackers' messages. A new …
Misbehavior detection for position falsification attacks in VANETs using machine learning
Cooperative Intelligent Transport Systems (C-ITS) is an advanced technology for road safety
and traffic efficiency over Vehicular Ad Hoc Networks (VANETs) allowing vehicles to …
and traffic efficiency over Vehicular Ad Hoc Networks (VANETs) allowing vehicles to …
Machine learning approach for detecting location spoofing in VANET
A Sharma, A Jaekel - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
A vehicular ad-hoc network (VANET) consists of moving and stationary vehicles, along with
supporting infrastructure, which communicate with each other through a wireless medium …
supporting infrastructure, which communicate with each other through a wireless medium …
Shadows don't lie: n-sequence trajectory inspection for misbehaviour detection and classification in vanets
This paper presents a machine learning approach to detect and classify misbehaviour in
Vehicular Ad-hoc Networks. We describe three novel features obtained from analysis of n …
Vehicular Ad-hoc Networks. We describe three novel features obtained from analysis of n …
An effective misbehavior detection model using artificial neural network for vehicular ad hoc network applications
Vehicular ad hoc network (VANET) is the key enabler for future intelligent transportation
systems' applications. Due to its high mobility, VANETs rely on the availability of accurate …
systems' applications. Due to its high mobility, VANETs rely on the availability of accurate …
Integrating plausibility checks and machine learning for misbehavior detection in VANET
The safety and efficiency of vehicular communications rely on the correctness of the data
exchanged between vehicles. In this paper we address the issue of detecting and classifying …
exchanged between vehicles. In this paper we address the issue of detecting and classifying …
Veremi: A dataset for comparable evaluation of misbehavior detection in vanets
Vehicular networks are networks of communicating vehicles, a major enabling technology
for future cooperative and autonomous driving technologies. The most important messages …
for future cooperative and autonomous driving technologies. The most important messages …
Detection of position falsification attacks in VANETs applying trust model and machine learning
J Montenegro, C Iza, M Aguilar Igartua - … of the 17th ACM symposium on …, 2020 - dl.acm.org
Vehicular ad hoc networks (VANETs) are relatively new networks that focus on intelligent
transportation systems (ITS). The interest in this kind of networks lies in the promising …
transportation systems (ITS). The interest in this kind of networks lies in the promising …