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 …

Semi-supervised learning based distributed attack detection framework for IoT

S Rathore, JH Park - Applied Soft Computing, 2018 - Elsevier
Alongside the development of Internet of Things (IoT), security attacks are also increasing
day by day. A number of centralized attack detection mechanisms have been proposed to …

Anomaly detection model based on gradient boosting and decision tree for IoT environments security

M Douiba, S Benkirane, A Guezzaz… - Journal of Reliable …, 2023 - Springer
Abstract Internet of Things (IoT) refers to the widespread use of distributed intelligent objects
equipped with various components such as captors, activators, and processors that interact …

An ensemble deep learning-based cyber-attack detection in industrial control system

A Al-Abassi, H Karimipour, A Dehghantanha… - Ieee …, 2020 - ieeexplore.ieee.org
The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …

[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

Attack detection in IoT using machine learning

M Anwer, SM Khan, MU Farooq - Engineering, Technology & Applied …, 2021 - etasr.com
Many researchers have examined the risks imposed by the Internet of Things (IoT) devices
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …

[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 …

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 …

[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks

YK Saheed, AI Abiodun, S Misra, MK Holone… - Alexandria Engineering …, 2022 - Elsevier
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …

[HTML][HTML] Injection attack detection using machine learning for smart IoT applications

T Gaber, A El-Ghamry, AE Hassanien - Physical Communication, 2022 - Elsevier
Smart cities are a rapidly growing IoT application. These smart cities mainly rely on wireless
sensors to connect their different components (smart devices) together. Smart cities rely on …