A survey on intelligent Internet of Things: Applications, security, privacy, and future directions

O Aouedi, TH Vu, A Sacco, DC Nguyen… - … surveys & tutorials, 2024 - ieeexplore.ieee.org
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

[HTML][HTML] Industrial cyber-physical systems protection: A methodological review

R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

Artificial intelligence-based cyber security in the context of industry 4.0—a survey

AJG De Azambuja, C Plesker, K Schützer, R Anderl… - Electronics, 2023 - mdpi.com
The increase in cyber-attacks impacts the performance of organizations in the industrial
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …

Handling privacy-sensitive medical data with federated learning: challenges and future directions

O Aouedi, A Sacco, K Piamrat… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Recent medical applications are largely dominated by the application of Machine Learning
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …

A Survey on the Applications of Semi-supervised Learning to Cyber-security

PK Mvula, P Branco, GV Jourdan, HL Viktor - ACM Computing Surveys, 2024 - dl.acm.org
Machine Learning's widespread application owes to its ability to develop accurate and
scalable models. In cyber-security, where labeled data is scarce, Semi-Supervised Learning …

DDoS attacks in Industrial IoT: A survey

S Chaudhary, PK Mishra - Computer Networks, 2023 - Elsevier
As the IoT expands its influence, its effect is becoming macroscopic and pervasive. One of
the most discernible effects is in the industries where it is known as Industrial IoT (IIoT). IIoT …

Recent endeavors in machine learning-powered intrusion detection systems for the internet of things

D Manivannan - Journal of Network and Computer Applications, 2024 - Elsevier
The significant advancements in sensors and other resource-constrained devices, capable
of collecting data and communicating wirelessly, are poised to revolutionize numerous …

Federated-learning-empowered semi-supervised active learning framework for intrusion detection in zsm

F Naeem, M Ali, G Kaddoum - IEEE Communications Magazine, 2023 - ieeexplore.ieee.org
Exponential growth of novel radical applications and services in sixth-generation (6G)
networks is expected to increase the complexity of managing existing network …

An explainable multi-modal model for advanced cyber-attack detection in industrial control systems

S Bahadoripour, H Karimipour, AN Jahromi, A Islam - Internet of Things, 2024 - Elsevier
Abstract The convergence of Industrial Control Systems (ICS) and intelligent Internet of
Things (IoT) technologies has rendered ICS more vulnerable to a growing range of cyber …

F-bids: Federated-blending based intrusion detection system

O Aouedi, K Piamrat - Pervasive and Mobile Computing, 2023 - Elsevier
The rapid development of network communication along with the drastic increase in the
number of smart devices has triggered a surge in network traffic, which can contain private …