[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 …

Deep learning for the security of software-defined networks: a review

R Taheri, H Ahmed, E Arslan - Cluster Computing, 2023 - Springer
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …

[HTML][HTML] A distributed SDN-based intrusion detection system for IoT using optimized forests

K Luo - Plos one, 2023 - journals.plos.org
Along with the expansion of Internet of Things (IoT), the importance of security and intrusion
detection in this network also increases, and the need for new and architecture-specific …

[HTML][HTML] Protocol-specific and sensor network-inherited attack detection in IoT using machine learning

F Zahra, NZ Jhanjhi, NA Khan, SN Brohi, M Masud… - Applied Sciences, 2022 - mdpi.com
For networks with limited resources, such as IoT-enabled smart homes, smart industrial
equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy …

Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands

O Alnajar, A Barnawi - Computer Networks, 2023 - Elsevier
Abstract The Tactile Internet of Things (TIoT) represents a special class of the Internet of
Things (IoT) that has opened the door for a new generation of agile, highly dynamic …

[HTML][HTML] A novel hybrid optimization enabled robust CNN algorithm for an IoT network intrusion detection approach

A Bahaa, A Sayed, L Elfangary, H Fahmy - Plos one, 2022 - journals.plos.org
Due to the huge number of connected Internet of Things (IoT) devices within a network,
denial of service and flooding attacks on networks are on the rise. IoT devices are disrupted …

MAC protocol based IoT network intrusion detection using improved efficient shuffle bidirectional COOT channel attention network

NKS Nayak, B Bhattacharyya - IEEE Access, 2023 - ieeexplore.ieee.org
The IoT networks are customized to work under various smart environments, utilizing diverse
sensors. However, they are vulnerable to several cyberattacks because of their finite …

An intelligent intrusion prediction and prevention system for software defined internet of things cloud networks

S Kranthi, M Kanchana, M Suneetha - Peer-to-Peer Networking and …, 2023 - Springer
Securing digital data transmission or communication is essential for the growing smart cities.
At the same, malicious vulnerabilities are also enhanced to break the security. Hence …

A Novel Tunicate Swarm Algorithm With Hybrid Deep Learning Enabled Attack Detection for Secure IoT Environment

F Taher, M Elhoseny, MK Hassan… - IEEE Access, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) paradigm has matured and expanded rapidly across many
disciplines. Despite these advancements, IoT networks continue to face an increasing …

Evaluated bird swarm optimization based on deep belief network (EBSO-DBN) classification technique for IOT network intrusion detection

A Biju, SW Franklin - Automatika, 2024 - Taylor & Francis
Because of the recent development of various intrusion detection systems (IDS), which
defend computer networks from security as well as privacy threats. The confidentiality …