[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review

A Aldhaheri, F Alwahedi, MA Ferrag, A Battah - Internet of Things and Cyber …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …

Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods

YL Khaleel, MA Habeeb, AS Albahri… - Journal of Intelligent …, 2024 - degruyter.com
This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …

[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System

SA Bakhsh, MA Khan, F Ahmed, MS Alshehri, H Ali… - Internet of Things, 2023 - Elsevier
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …

Anomaly-based intrusion detection system for IoT application

M Bhavsar, K Roy, J Kelly, O Olusola - Discover Internet of things, 2023 - Springer
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …

Smart Agricultural–Industrial Crop-Monitoring System Using Unmanned Aerial Vehicle–Internet of Things Classification Techniques

K Vijayalakshmi, S Al-Otaibi, L Arya, MA Almaiah… - Sustainability, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) coupled with machine learning approaches have
attracted considerable interest from academicians and industrialists. UAVs provide the …

Design of an intrusion detection model for IoT-enabled smart home

D Rani, NS Gill, P Gulia, F Arena, G Pau - IEEE Access, 2023 - ieeexplore.ieee.org
Machine learning (ML) provides effective solutions to develop efficient intrusion detection
system (IDS) for various environments. In the present paper, a diversified study of various …

An intrusion detection system based on stacked ensemble learning for IoT network

Y Cao, Z Wang, H Ding, J Zhang, B Li - Computers and Electrical …, 2023 - Elsevier
Abstract As Internet of Things (IoT) technology advances rapidly, the need for security
measures in this domain intensifies, mainly due to the inherent computational resource …

MAGRU-IDS: A multi-head attention-based gated recurrent unit for intrusion detection in IIoT networks

S Ullah, W Boulila, A Koubaa, J Ahmad - IEEE Access, 2023 - ieeexplore.ieee.org
The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial
environments amplifies the potential for security breaches and compromises. To monitor IIoT …

Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation

MA Khatun, SF Memon, C Eising, LL Dhirani - IEEE Access, 2023 - ieeexplore.ieee.org
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …

Blockchain-assisted hybrid harris hawks optimization based deep DDoS attack detection in the IoT environment

I Katib, M Ragab - Mathematics, 2023 - mdpi.com
The Internet of Things (IoT) is developing as a novel phenomenon that is applied in the
growth of several crucial applications. However, these applications continue to function on a …