[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 …, 2023 - 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 …
[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 …
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
A new concatenated multigraph neural network for iot intrusion detection
The last few years have seen a high volume of sophisticated cyber-attacks leading to
financial instability and privacy breaches. This reveals the need for a Network Intrusion …
financial instability and privacy breaches. This reveals the need for a Network Intrusion …
Trustworthy Artificial Intelligence Methods for Users' Physical and Environmental Security: A Comprehensive Review
S Szymoniak, F Depta, Ł Karbowiak, M Kubanek - Applied Sciences, 2023 - mdpi.com
Artificial Intelligence is an indispensable element of the modern world, constantly evolving
and contributing to the emergence of new technologies. We meet it in everyday applications …
and contributing to the emergence of new technologies. We meet it in everyday applications …
[HTML][HTML] Metaverse-IDS: Deep learning-based intrusion detection system for Metaverse-IoT networks
Combining the metaverse and the Internet of Things (IoT) will lead to the development of
diverse, virtual, and more advanced networks in the future. The integration of IoT networks …
diverse, virtual, and more advanced networks in the future. The integration of IoT networks …
A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …
An explainable efficient flow-based Industrial IoT intrusion detection system
MM Alani - Computers and Electrical Engineering, 2023 - Elsevier
With the steady growth in the adoption of IoT in an industrial context, security challenges
intensify. Security threats to IoT devices in a nuclear plant or an oil refinery are much higher …
intensify. Security threats to IoT devices in a nuclear plant or an oil refinery are much higher …
A lightweight multi-vector DDoS detection framework for IoT-enabled mobile health informatics systems using deep learning
AD Aguru, SB Erukala - Information Sciences, 2024 - Elsevier
The exponential growth in adopting Internet of Things (IoT) applications and services has
rendered IoT security an essential concern that must be handled promptly. Multi-vector …
rendered IoT security an essential concern that must be handled promptly. Multi-vector …
Iot network cybersecurity assessment with the associated random neural network
This paper proposes a method to assess the security of an device, or IP address, IoT
network by simultaneously identifying all the compromised IoT devices and IP addresses. It …
network by simultaneously identifying all the compromised IoT devices and IP addresses. It …