Network intrusion detection for IoT security based on learning techniques

N Chaabouni, M Mosbah, A Zemmari… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …

Feature analysis for machine learning-based IoT intrusion detection

M Sarhan, S Layeghy, M Portmann - arXiv preprint arXiv:2108.12732, 2021 - arxiv.org
Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …

[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 …

[HTML][HTML] Deep learning approach for SDN-enabled intrusion detection system in IoT networks

R Chaganti, W Suliman, V Ravi, A Dua - Information, 2023 - mdpi.com
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …

Deep learning in IoT intrusion detection

S Tsimenidis, T Lagkas, K Rantos - Journal of network and systems …, 2022 - Springer
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …

DL‐IDS: a deep learning–based intrusion detection framework for securing IoT

Y Otoum, D Liu, A Nayak - Transactions on Emerging …, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …

[HTML][HTML] Feature extraction for machine learning-based intrusion detection in IoT networks

M Sarhan, S Layeghy, N Moustafa, M Gallagher… - Digital Communications …, 2022 - Elsevier
A large number of network security breaches in IoT networks have demonstrated the
unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …

A comprehensive deep learning benchmark for IoT IDS

R Ahmad, I Alsmadi, W Alhamdani, L Tawalbeh - Computers & Security, 2022 - Elsevier
The significance of an intrusion detection system (IDS) in networks security cannot be
overstated in detecting and responding to malicious attacks. Failure to detect large-scale …

[HTML][HTML] IoT intrusion detection using machine learning with a novel high performing feature selection method

K Albulayhi, Q Abu Al-Haija, SA Alsuhibany… - Applied Sciences, 2022 - mdpi.com
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …