Federated learning empowered computation offloading and resource management in 6G-V2X

SB Prathiba, G Raja, S Anbalagan… - … on Network Science …, 2021 - ieeexplore.ieee.org
Humankind's urbanization and luxuriousneed increase the number of vehicles day by day.
Alongside the advancement of technologies, autonomous vehicles have now come into a …

A hybrid deep reinforcement learning for autonomous vehicles smart-platooning

SB Prathiba, G Raja, K Dev, N Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The development of Autonomous Vehicles (AVs) envisions the promising technology of
future Intelligent Transportation Systems (ITS). However, the complex road structures and …

Toward collaborative intelligence in IoV systems: Recent advances and open issues

S Danba, J Bao, G Han, S Guleng, C Wu - Sensors, 2022 - mdpi.com
Internet of Vehicles (IoV) technology has been attracting great interest from both academia
and industry due to its huge potential impact on improving driving experiences and enabling …

A federated learning framework for cyberattack detection in vehicular sensor networks

M Driss, I Almomani, Z e Huma, J Ahmad - Complex & Intelligent Systems, 2022 - Springer
Abstract Vehicular Sensor Networks (VSN) introduced a new paradigm for modern
transportation systems by improving traffic management and comfort. However, the …

Collaborative intrusion detection system for sdvn: A fairness federated deep learning approach

J Cui, H Sun, H Zhong, J Zhang, L Wei… - … on Parallel and …, 2023 - ieeexplore.ieee.org
With the continuous innovations and development in communication technology and
intelligent transportation systems, a new generation of vehicular ad hoc networks (VANETs) …

Machine-learning-based efficient and secure RSU placement mechanism for software-defined-IoV

S Anbalagan, AK Bashir, G Raja… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The massive increase in computing and network capabilities has resulted in a paradigm shift
from vehicular networks to the Internet of Vehicles (IoV). Owing to the dynamic and …

IIDS: Intelligent intrusion detection system for sustainable development in autonomous vehicles

S Anbalagan, G Raja, S Gurumoorthy… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Connected and Autonomous Vehicles (CAVs) enable various capabilities and functionalities
like automated driving assistance, navigation and path planning, cruise control, independent …

[HTML][HTML] Novel hyper-tuned ensemble random forest algorithm for the detection of false basic safety messages in internet of vehicles

GO Anyanwu, CI Nwakanma, JM Lee, DS Kim - ICT Express, 2023 - Elsevier
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 …

Histogram-based intrusion detection and filtering framework for secure and safe in-vehicle networks

A Derhab, M Belaoued, I Mohiuddin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we propose H-IDFS, a Histogram-based Intrusion Detection and Filtering
framework, which assembles the CAN packets into windows, and computes their …

A hybrid deep sensor anomaly detection for autonomous vehicles in 6G-V2X environment

SB Prathiba, G Raja, S Anbalagan… - … on Network Science …, 2022 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) exchange real-time and seamless data between other AVs and
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …