Data driven intrusion detection for 6LoWPAN based IoT systems

FK Örs, A Levi - Ad Hoc Networks, 2023 - Elsevier
Wide adoption of Internet of Things (IoT) devices and their limitations in terms of hardware
cause them to be easy targets for attackers. This, in turn, requires monitoring such systems …

Toward improved machine learning-based intrusion detection for Internet of Things traffic

S Alkadi, S Al-Ahmadi, MM Ben Ismail - Computers, 2023 - mdpi.com
The rapid development of Internet of Things (IoT) networks has revealed multiple security
issues. On the other hand, machine learning (ML) has proven its efficiency in building …

An intelligent intrusion detection system for internet of things attack detection and identification using machine learning

TS Othman, SM Abdullah - aro-the scientific journal of …, 2023 - eprints.koyauniversity.org
The usability and scalability of Internet of things (IoT) technology are expanding in such a
way that they facilitate human living standards. However, they increase the vulnerabilities …

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

J Li, MS Othman, H Chen, LM Yusuf - Journal of Big Data, 2024 - Springer
Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

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 …

A Comprehensive Analysis of Machine Learning-Based Intrusion Detection System for IoT-23 Dataset

YG Kim, KJ Ahmed, MJ Lee, K Tsukamoto - International Conference on …, 2022 - Springer
With the proliferation of IoT devices, securing the IoT-based network is of paramount
importance. IoT-based networks consist of diversely purposed IoT devices. This diversity of …

A comprehensive review of machine learning-based intrusion detection techniques for IoT networks

G Samara, M Aljaidi, R Alazaidah, MH Qasem… - … Intelligence, Internet of …, 2023 - Springer
The vast expansion of the Internet of Things (IoT) exposes it to the threat of massive financial
and reputational harm. The imperative to develop an emergency action plan and …

A comprehensive survey on intrusion detection based machine learning for IOT networks

H Mliki, AH Kaceam, L Chaari - EAI Endorsed Transactions on …, 2021 - publications.eai.eu
Abstract The Internet of things (IoT) is a new ubiquitous technology that relies on
heterogeneous devices and protocols. The IoT technologies are expected to offer a new …

An experimental analysis of attack classification using machine learning in IoT networks

A Churcher, R Ullah, J Ahmad, S Ur Rehman… - Sensors, 2021 - mdpi.com
In recent years, there has been a massive increase in the amount of Internet of Things (IoT)
devices as well as the data generated by such devices. The participating devices in IoT …

[PDF][PDF] Machine Learning-based Intrusion Detection Technique for IoT: Simulation with Cooja

A Farea, K Küçük - International Journal of Computer Network and …, 2024 - researchgate.net
The Internet of Things (IoT) is one of the promising technologies of the future. It offers many
attractive features that we depend on nowadays with less effort and faster in real-time …