A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

Toward a lightweight intrusion detection system for the internet of things

SU Jan, S Ahmed, V Shakhov, I Koo - IEEE access, 2019 - ieeexplore.ieee.org
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …

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 …

Internet of Things: A survey on machine learning-based intrusion detection approaches

KAP Da Costa, JP Papa, CO Lisboa, R Munoz… - Computer Networks, 2019 - Elsevier
In the world scenario, concerns with security and privacy regarding computer networks are
always increasing. Computer security has become a necessity due to the proliferation of …

Intrusion detection system for Internet of Things based on a machine learning approach

C Liang, B Shanmugam, S Azam… - … on Vision Towards …, 2019 - ieeexplore.ieee.org
With the application of Internet of Things technology to every aspect of life, the potential
damage caused by Internet of things attacks is more serious than for traditional network …

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 …

Intrusion detection system on IoT with 5G network using deep learning

N Yadav, S Pande, A Khamparia… - … and Mobile Computing, 2022 - Wiley Online Library
The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …

A novel deep supervised learning-based approach for intrusion detection in IoT systems

S Baniasadi, O Rostami, D Martín, M Kaveh - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …

A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

[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 …