A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges

A Khraisat, A Alazab - Cybersecurity, 2021‏ - Springer
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …

Review of artificial intelligence for enhancing intrusion detection in the internet of things

M Saied, S Guirguis, M Madbouly - Engineering Applications of Artificial …, 2024‏ - Elsevier
Internet of Things is sha** the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …

[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 …

A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions

S Arisdakessian, OA Wahab, A Mourad… - IEEE Internet of …, 2022‏ - ieeexplore.ieee.org
In the past several years, the world has witnessed an acute surge in the production and
usage of smart devices which are referred to as the Internet of Things (IoT). These devices …

Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques

A Mihoub, OB Fredj, O Cheikhrouhou, A Derhab… - Computers & Electrical …, 2022‏ - Elsevier
Abstract IoT (Internet of Things) systems are still facing a great number of attacks due to their
integration in several areas of life. The most-reported attacks against IoT systems are" …

Protocol-based deep intrusion detection for dos and ddos attacks using unsw-nb15 and bot-iot data-sets

M Zeeshan, Q Riaz, MA Bilal, MK Shahzad… - IEEE …, 2021‏ - ieeexplore.ieee.org
Since its inception, the Internet of Things (IoT) has witnessed mushroom growth as a
breakthrough technology. In a nutshell, IoT is the integration of devices and data such that …

An improved PIO feature selection algorithm for IoT network intrusion detection system based on ensemble learning

OA Alghanam, W Almobaideen, M Saadeh… - Expert Systems with …, 2023‏ - Elsevier
With the rapid growth of the number of connected devices that exchange personal, sensitive,
and important data through the IoT based global network, attacks that are targeting security …

Unified deep learning approach for efficient intrusion detection system using integrated spatial–temporal features

PR Kanna, P Santhi - Knowledge-Based Systems, 2021‏ - Elsevier
Intrusion detection systems (IDS) differentiate the malicious entries from the legitimate
entries in network traffic data and helps in securing the networks. Deep learning algorithms …

[HTML][HTML] XGBoost for imbalanced multiclass classification-based industrial internet of things intrusion detection systems

TTH Le, YE Oktian, H Kim - Sustainability, 2022‏ - mdpi.com
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

MQTTset, a new dataset for machine learning techniques on MQTT

I Vaccari, G Chiola, M Aiello, M Mongelli, E Cambiaso - Sensors, 2020‏ - mdpi.com
IoT networks are increasingly popular nowadays to monitor critical environments of different
nature, significantly increasing the amount of data exchanged. Due to the huge number of …