[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 …

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] 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 …

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 …

A comprehensive survey on deep learning‐based intrusion detection systems in Internet of Things (IoT)

QA Al‐Haija, A Droos - Expert Systems, 2025 - Wiley Online Library
The proliferating popularity of Internet of Things (IoT) devices has led to wide‐scale
networked system implementations across multiple disciplines, including transportation …

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 …

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

A Biju, S Wilfred Franklin - Automatika: časopis za automatiku …, 2024 - hrcak.srce.hr
Because of the recent development of various intrusion detection systems (IDS), which
defend computer networks from security as well as privacy threats. The confidentiality …

An improved algorithm for network intrusion detection based on deep residual networks

X Hu, X Meng, S Liu, L Liang - IEEE Access, 2024 - ieeexplore.ieee.org
The goal of current research will be to increase the accuracy and generalisation capacity of
intrusion detection models in order to better handle the complex network security issues of …

Advancing IoT security: a comprehensive AI-based trust framework for intrusion detection

CP Kaliappan, K Palaniappan… - Peer-to-Peer Networking …, 2024 - Springer
Over the years, the Internet of Things (IoT) devices have shown rapid proliferation and
development in various domains. However, the widespread adoption of smart devices …

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 …