Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects

U Inayat, MF Zia, S Mahmood, HM Khalid… - Electronics, 2022 - mdpi.com
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …

[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review

SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

Enhancement of an IoT hybrid intrusion detection system based on fog-to-cloud computing

D Mohamed, O Ismael - Journal of Cloud Computing, 2023 - Springer
Nowadays, with the proliferation of internet of things-connected devices, the scope of cyber-
attacks on the internet of things has grown exponentially. So, it makes it a necessity to …

Iot traffic-based DDoS attacks detection mechanisms: A comprehensive review

P Shukla, CR Krishna, NV Patil - The Journal of Supercomputing, 2024 - Springer
Abstract The Internet of Things (IoT) has emerged as an inevitable part of human life, that
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …

Monitoring real time security attacks for IoT systems using DevSecOps: a systematic literature review

A Bahaa, A Abdelaziz, A Sayed, L Elfangary, H Fahmy - Information, 2021 - mdpi.com
In many enterprises and the private sector, the Internet of Things (IoT) has spread globally.
The growing number of different devices connected to the IoT and their various protocols …

[HTML][HTML] A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks

GAL Mukhaini, M Anbar, S Manickam… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) connects daily use devices to the Internet, such as
home appliances, health care equipment, sensors, and industrial devices. Concurrently …

Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models

A Almotairi, S Atawneh, OA Khashan… - Systems Science & …, 2024 - Taylor & Francis
Internet of Things (IoT) technology has evolved significantly, transitioning from personal
devices to powering smart cities and global deployments across diverse industries …

ML Techniques for Attack and Anomaly Detection in Internet of Things Networks

V Mahor, S Bijrothiya, R Mishra… - … Vehicles Volume 1 …, 2022 - Wiley Online Library
Summary The Internet of Things (IoT), is a fundamental driver of smart cities. It is the
champion of the global collaboration of machines/things, people, huge data, and processes …

A vote-based architecture to generate classified datasets and improve performance of intrusion detection systems based on supervised learning

D Teixeira, S Malta, P Pinto - Future Internet, 2022 - mdpi.com
An intrusion detection system (IDS) is an important tool to prevent potential threats to
systems and data. Anomaly-based IDSs may deploy machine learning algorithms to classify …