Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm

S Fraihat, S Makhadmeh, M Awad, MA Al-Betar… - Internet of Things, 2023 - Elsevier
With the rapid expansion of Internet of Things (IoT) networks, the need for robust security
measures to detect and report potential threats is becoming more urgent. In this paper, we …

Multi-strategy remora optimization algorithm for solving multi-extremum problems

H Jia, Y Li, D Wu, H Rao, C Wen… - Journal of …, 2023 - academic.oup.com
A metaheuristic algorithm that simulates the foraging behavior of remora has been proposed
in recent years, called ROA. ROA mainly simulates host parasitism and host switching in the …

Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM

AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …

A Hunger Games Search algorithm with opposition-based learning for solving multimodal medical image registration

X Luo, B Du, P Gui, D Zhang, W Hu - Neurocomputing, 2023 - Elsevier
Multimodal medical image registration involves multiple pieces of medical equipment
collecting complementary information on the same content, resulting in information fusion …

An adversarial domain adaptation approach combining dual domain pairing strategy for IoT intrusion detection under few-shot samples

W Ma, R Liu, K Li, S Yan, J Guo - Information Sciences, 2023 - Elsevier
The security of the Internet of Things (IoT) is an integral research topic to support its
applicability. With the rapid development of IoT technology, security threats have become …

ADCL: Towards an adaptive network intrusion detection system using collaborative learning in IoT networks

Z Ma, L Liu, W Meng, X Luo, L Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the widespread of cyber attacks, network intrusion detection system (NIDS) is becoming
an important and essential tool to protect Internet of Things (IoT) environments. However, it …

Network intrusion detection with two-phased hybrid ensemble learning and automatic feature selection

AK Mananayaka, SS Chung - IEEE Access, 2023 - ieeexplore.ieee.org
The use of network connected devices has grown exponentially in recent years
revolutionizing our daily lives. However, it has also attracted the attention of cybercriminals …

[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 …

A critical review of feature selection methods for machine learning in IoT security

J Li, MS Othman, H Chen… - International Journal of …, 2024 - inderscienceonline.com
In the internet of things (IoT) era, the security of connected devices and systems is critical.
Machine learning models are commonly used for IoT attack detection, where feature …

WOAD3QN-RP: An intelligent routing protocol in wireless sensor networks—A swarm intelligence and deep reinforcement learning based approach

X Yang, J Yan, D Wang, Y Xu, G Hua - Expert Systems with Applications, 2024 - Elsevier
Abstract Wireless Sensor Networks (WSN) are a crucial part of the Internet of Things (IoT),
and research on WSN routing protocols has always been a hot topic in academia. However …