Ton-iot: Detection of attacks on internet of things in vehicular networks
During the recent era, due to the exponential rise in the Internet of things (IoT) enabled
devices around the globe, IoT and Machine learning (ML) has come out as usable and …
devices around the globe, IoT and Machine learning (ML) has come out as usable and …
Machine learning and reputation based misbehavior detection in vehicular communication networks
Vehicular networks are vulnerable to various attacks such as Sybil, denial-of-service (DoS)
and false alert generation attacks. Cryptographic methods can provide some protection to …
and false alert generation attacks. Cryptographic methods can provide some protection to …
A data-driven method for falsified vehicle trajectory identification by anomaly detection
The vehicle-to-infrastructure (V2I) communications enable a wide range of new applications,
which bring prominent benefits to the transportation system. However, malicious attackers …
which bring prominent benefits to the transportation system. However, malicious attackers …
Hierarchical anomaly detection model for in-vehicle networks using machine learning algorithms
The communication and connectivity functions of vehicles increase their vulnerability to
hackers. The unintended failure and malfunction of in-vehicle systems caused by external …
hackers. The unintended failure and malfunction of in-vehicle systems caused by external …
Classification and explanation for intrusion detection system based on ensemble trees and SHAP method
In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …
and developed in the research community, which have achieved a perfect detection rate …
Anomaly detection in the internet of vehicular networks using explainable neural networks (xnn)
It is increasingly difficult to identify complex cyberattacks in a wide range of industries, such
as the Internet of Vehicles (IoV). The IoV is a network of vehicles that consists of sensors …
as the Internet of Vehicles (IoV). The IoV is a network of vehicles that consists of sensors …
CT2‐MDS: Cooperative trust‐aware tolerant misbehaviour detection system for connected and automated vehicles
Y Liu, H Xue, W Zhuang, F Wang… - IET Intelligent Transport …, 2022 - Wiley Online Library
Connected and automated vehicles (CAVs) are recognized as a promising solution to
improve road safety. Before deploying CAVs, securing the communication environment is a …
improve road safety. Before deploying CAVs, securing the communication environment is a …
A secure intelligent system for internet of vehicles: case study on traffic forecasting
Significant efforts have been made for vehicle-to-vehicle communications that now enable
the Internet of Vehicles (IoV). However, current IoV solutions are unable to capture traffic …
the Internet of Vehicles (IoV). However, current IoV solutions are unable to capture traffic …
Semi-supervised learning based distributed attack detection framework for IoT
S Rathore, JH Park - Applied Soft Computing, 2018 - Elsevier
Alongside the development of Internet of Things (IoT), security attacks are also increasing
day by day. A number of centralized attack detection mechanisms have been proposed to …
day by day. A number of centralized attack detection mechanisms have been proposed to …
Anomaly detection method for vehicular network based on collaborative deep support vector data description
With the accelerating convergence of fifth-generation (5G) communication technology and
the automotive industry, vehicular network has received wide attention due to its great …
the automotive industry, vehicular network has received wide attention due to its great …