Autonomous Vehicles in 5G and beyond: A Survey
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …
Such methods focus on two major areas: detection of intrusions at the network level using …
Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
Security of Vehicular Ad Hoc Networks using blockchain: A comprehensive review
J Grover - Vehicular Communications, 2022 - Elsevier
The most advanced and emerging component of an intelligent transportation system (ITS) is
the vehicular ad hoc network (VANET). Vehicles communicate with nearby vehicles or road …
the vehicular ad hoc network (VANET). Vehicles communicate with nearby vehicles or road …
Machine learning-based intrusion detection for smart grid computing: A survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …
significantly applied and advanced the state-of-the-art system security and defense …
Electric vehicle charging: A survey on the security issues and challenges of the open charge point protocol (OCPP)
Z Garofalaki, D Kosmanos… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The increased use of smart Electric Vehicles (EVs) and Plug-in Electric Vehicles (PEV)
opened a new area of research and development. The number of EV charging sites has …
opened a new area of research and development. The number of EV charging sites has …
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 …
A hybrid machine learning model for intrusion detection in VANET
Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …
communication and traffic information exchange, VANET is also vulnerable to different …
A systematic literature review on security of vehicular ad-hoc network (vanet) based on veins framework
MA Al-Shareeda, S Manickam - IEEE Access, 2023 - ieeexplore.ieee.org
Innovative framework on Vehicles in Network Simulation (VEINS) for Vehicular Ad-hoc
Network (VANET) that use security aspect is mainly limited and dispersed. In order to offer …
Network (VANET) that use security aspect is mainly limited and dispersed. In order to offer …