[HTML][HTML] SDN-enabled hybrid DL-driven framework for the detection of emerging cyber threats in IoT

D Javeed, T Gao, MT Khan - Electronics, 2021 - mdpi.com
The Internet of Things (IoT) has proven to be a billion-dollar industry. Despite offering
numerous benefits, the prevalent nature of IoT makes it vulnerable and a possible target for …

[HTML][HTML] A hybrid intelligent framework to combat sophisticated threats in secure industries

D Javeed, T Gao, MT Khan, D Shoukat - Sensors, 2022 - mdpi.com
With the new advancements in Internet of Things (IoT) and its applications in different
sectors, such as the industrial sector, by connecting billions of devices and instruments, IoT …

[HTML][HTML] A hybrid deep learning-driven SDN enabled mechanism for secure communication in Internet of Things (IoT)

D Javeed, T Gao, MT Khan, I Ahmad - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) has emerged as a new technological world connecting billions of
devices. Despite providing several benefits, the heterogeneous nature and the extensive …

Towards SDN-enabled, intelligent intrusion detection system for internet of things (IoT)

MSA Muthanna, R Alkanhel, A Muthanna, A Rafiq… - IEEE …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …

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] An efficient deep-learning-based detection and classification system for cyber-attacks in IoT communication networks

Q Abu Al-Haija, S Zein-Sabatto - Electronics, 2020 - mdpi.com
With the rapid expansion of intelligent resource-constrained devices and high-speed
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …

An ensemble of deep recurrent neural networks for detecting IoT cyber attacks using network traffic

M Saharkhizan, A Azmoodeh… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT) devices and systems will be increasingly targeted by cybercriminals
(including nation state-sponsored or affiliated threat actors) as they become an integral part …

[HTML][HTML] Distributed deep neural-network-based middleware for cyber-attacks detection in smart IoT ecosystem: A novel framework and performance evaluation …

G Bhandari, A Lyth, A Shalaginov, TM Grønli - Electronics, 2023 - mdpi.com
Cyberattacks always remain the major threats and challenging issues in the modern digital
world. With the increase in the number of internet of things (IoT) devices, security challenges …

IoT security with Deep Learning-based Intrusion Detection Systems: A systematic literature review

I Idrissi, M Azizi, O Moussaoui - 2020 Fourth international …, 2020 - ieeexplore.ieee.org
In the recent years, Internet of things (IoT) is rising increasingly to become a big research
topic due to the billions of devices dispatched around the world. These devices are …

A hybrid DL-driven intelligent SDN-enabled malware detection framework for Internet of Medical Things (IoMT)

S Khan, A Akhunzada - Computer Communications, 2021 - Elsevier
The rise of Internet of Things (IoT) has envisioned smart connectivity of billions of varied
devices with high computational and processing capabilities resulting in the evolution of …