A survey on IoT-enabled smart grids: Emerging, applications, challenges, and outlook

A Goudarzi, F Ghayoor, M Waseem, S Fahad, I Traore - Energies, 2022 - mdpi.com
Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …

Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions

N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities and challenges

RI Mukhamediev, Y Popova, Y Kuchin, E Zaitseva… - Mathematics, 2022 - mdpi.com
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …

On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives

A Rahman, K Hasan, D Kundu, MJ Islam… - Future Generation …, 2023 - Elsevier
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …

[PDF][PDF] The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review

M Mijwil, IE Salem, MM Ismaeel - Iraqi Journal For Computer Science and …, 2023 - iasj.net
People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …

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 …

A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

A systematic review on machine learning and deep learning models for electronic information security in mobile networks

C Gupta, I Johri, K Srinivasan, YC Hu, SM Qaisar… - Sensors, 2022 - mdpi.com
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …

Cybersecurity threats, countermeasures and mitigation techniques on the IoT: Future research directions

E Altulaihan, MA Almaiah, A Aljughaiman - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) interconnects physical and virtual objects embedded with
sensors, software, and other technologies, which exchange data using the Internet. This …

Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization

IF Kilincer, F Ertam, A Sengur, RS Tan… - Biocybernetics and …, 2023 - Elsevier
Widespread proliferation of interconnected healthcare equipment, accompanying software,
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …