Internet of drones security: Taxonomies, open issues, and future directions

A Derhab, O Cheikhrouhou, A Allouch, A Koubaa… - Vehicular …, 2023 - Elsevier
Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical …

IH Sarker, H Janicke, MA Ferrag, A Abuadbba - Internet of Things, 2024 - Elsevier
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …

Graph neural network-driven traffic forecasting for the connected internet of vehicles

Q Zhang, K Yu, Z Guo, S Garg… - … on Network Science …, 2021 - ieeexplore.ieee.org
Due to great advances in wireless communication, the connected Internet of vehicles
(CIoVs) has become prevalent. Naturally, internal connections among active vehicles are an …

PPO2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems

H Gao, W Huang, T Liu, Y Yin… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …

Performance evaluation of deep learning based network intrusion detection system across multiple balanced and imbalanced datasets

A Meliboev, J Alikhanov, W Kim - Electronics, 2022 - mdpi.com
In the modern era of active network throughput and communication, the study of Intrusion
Detection Systems (IDS) is a crucial role to ensure safe network resources and information …

[HTML][HTML] Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine

J Zhang, Q Yan, X Zhu, K Yu - Digital Communications and Networks, 2023 - Elsevier
The crowd sensing technology can realize the sensing and computing of people, machines,
and environment in smart industrial IoT-based coal mine, which provides a solution for …

Cross-layer device authentication with quantum encryption for 5G enabled IIoT in industry 4.0

D Xu, K Yu, JA Ritcey - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), a core enabler of Industry 4.0, is evolving rapidly to tackle
the challenges imposed by explosive real-time manufacturing data in the context of Internet …

Fuz-spam: Label smoothing-based fuzzy detection of spammers in internet of things

Z Guo, K Yu, A Jolfaei, F Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Nowadays, online spamming has already been a remarkable threat to contents security of
Internet of Things. Due to constant technical progress, online spamming activities have been …

Reliability–Security Tradeoff Analysis in mmWave Ad Hoc–based CPS

Y Ju, M Yang, C Chakraborty, L Liu, Q Pei… - ACM Transactions on …, 2024 - dl.acm.org
Cyber-physical systems (CPS) offer integrated resolutions for various applications by
combining computer and physical components and enabling individual machines to work …

[HTML][HTML] IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

F Ullah, S Ullah, G Srivastava, JCW Lin - Digital Communications and …, 2024 - Elsevier
A network intrusion detection system is critical for cyber security against illegitimate attacks.
In terms of feature perspectives, network traffic may include a variety of elements such as …