Review of artificial intelligence for enhancing intrusion detection in the internet of things

M Saied, S Guirguis, M Madbouly - Engineering Applications of Artificial …, 2024 - Elsevier
Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …

[HTML][HTML] Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …

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 …

[HTML][HTML] Towards an intelligent intrusion detection system to detect malicious activities in cloud computing

H Attou, M Mohy-eddine, A Guezzaz, S Benkirane… - Applied Sciences, 2023 - mdpi.com
Several sectors have embraced Cloud Computing (CC) due to its inherent characteristics,
such as scalability and flexibility. However, despite these advantages, security concerns …

[HTML][HTML] VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions

G Perumal, G Subburayalu, Q Abbas, SM Naqi… - Systems, 2023 - mdpi.com
Data sharing with additional devices across wireless networks is made simple and
advantageous by the Internet of Things (IoT), an emerging technology. However, IoT …

EIoT-DDoS: embedded classification approach for IoT traffic-based DDoS attacks

P Shukla, CR Krishna, NV Patil - Cluster Computing, 2024 - Springer
Abstract The Internet of Things (IoT) has shown incredible adaptability in recent years and
has become an integral part of human life. The proliferation of IoT technology has made IoT …

Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques

A Abid, F Jemili, O Korbaa - Cluster Computing, 2024 - Springer
Intrusion detection in industrial control systems (ICS) is crucial for maintaining secu rity in
modern industries. However, the rapid growth of data generated from various sources …

IDS-XGbFS: a smart intrusion detection system using XGboostwith recent feature selection for VANET safety

S Amaouche, AzidineGuezzaz, S Benkirane… - Cluster …, 2024 - Springer
Abstract The Vehicular Ad Hoc Network (VANET) is a novel and innovative technology
which is part of the Intelligent Transportation Systems (ITS). VANET is a network composed …

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 …

Intrusion detection based on ensemble learning for big data classification

F Jemili, R Meddeb, O Korbaa - Cluster Computing, 2023 - Springer
The escalating frequency and sophistication of cyber threats pose significant challenges to
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …