Security concepts in emerging 6G communication: Threats, countermeasures, authentication techniques and research directions

SHA Kazmi, R Hassan, F Qamar, K Nisar, AAA Ibrahim - Symmetry, 2023 - mdpi.com
Challenges faced in network security have significantly steered the deployment timeline of
Fifth Generation (5G) communication at a global level; therefore, research in Sixth …

A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones

A Heidari, NJ Navimipour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …

A survey of cyberattack countermeasures for unmanned aerial vehicles

PY Kong - IEEE Access, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has been increasingly used in a wide range of commercial
and civilian applications. As an advanced cyber-physical system, UAVs are exposed to a …

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 …

TCAN-IDS: intrusion detection system for internet of vehicle using temporal convolutional attention network

P Cheng, K Xu, S Li, M Han - Symmetry, 2022 - mdpi.com
Intrusion detection systems based on recurrent neural network (RNN) have been considered
as one of the effective methods to detect time-series data of in-vehicle networks. However …

Intrusion detection system attack detection and classification model with feed-forward lstm gate in conventional dataset

PR Kshirsagar, RK Yadav… - … Learning Applications in …, 2022 - yashikajournals.com
With the increased network scale, intrusion detection is more frequent, advanced, and
volatile for capturing large scale is challenging. The increased malicious attacks in the …

Machine learning-based UAV assisted agricultural information security architecture and intrusion detection

R Fu, X Ren, Y Li, Y Wu, H Sun… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicle (UAV) remote sensing has developed rapidly in
the field of farmland information monitoring. Real-time and accurate access to farmland …

[HTML][HTML] Sea turtle foraging algorithm with hybrid deep learning-based intrusion detection for the internet of drones environment

J Escorcia-Gutierrez, M Gamarra, E Leal… - Computers and …, 2023 - Elsevier
Abstract The Internet of Drones (IoD) allows for coordinated control of airspace for
Unmanned Aerial Vehicles (UAVs), also known as drones. The decreasing costs of …

Blockchain and deep learning empowered secure data sharing framework for softwarized UAVs

P Kumar, R Kumar, A Kumar… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Softwarized Unmanned Aerial Vehicles (UAVs) use network programmability concept of
Software-Defined Network (SDN) to separate the hardware control layer from the data layer …

UAV-Assisted IoT Applications, Cybersecurity Threats, AI-Enabled Solutions, Open Challenges With Future Research Directions

M Adil, H Song, S Mastorakis… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …