[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 …
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 …
existing research on defense strategies and methodologies in adversarial attacks using …
[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System
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 …
security of interconnected devices and networks. This necessitates the use of efficient …
Anomaly-based intrusion detection system for IoT application
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 …
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
Unmanned aerial vehicles (UAVs) coupled with machine learning approaches have
attracted considerable interest from academicians and industrialists. UAVs provide the …
attracted considerable interest from academicians and industrialists. UAVs provide the …
Design of an intrusion detection model for IoT-enabled smart home
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 …
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 …
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
The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial
environments amplifies the potential for security breaches and compromises. To monitor IIoT …
environments amplifies the potential for security breaches and compromises. To monitor IIoT …
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
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 …
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
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 …
growth of several crucial applications. However, these applications continue to function on a …