DEMISe: Interpretable deep extraction and mutual information selection techniques for IoT intrusion detection

LR Parker, PD Yoo, TA Asyhari, L Chermak… - Proceedings of the 14th …, 2019 - dl.acm.org
Recent studies have proposed that traditional security technology--involving pattern-
matching algorithms that check predefined pattern sets of intrusion signatures--should be …

[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection

R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …

Feature analysis for machine learning-based IoT intrusion detection

M Sarhan, S Layeghy, M Portmann - arXiv preprint arXiv:2108.12732, 2021 - arxiv.org
Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …

A lightweight IoT intrusion detection model based on improved BERT-of-Theseus

Z Wang, J Li, S Yang, X Luo, D Li… - Expert Systems with …, 2024 - Elsevier
The proliferation of Internet of Things (IoT) technology has resulted in an increase in security
vulnerabilities associated with the interconnectivity of IoT devices. As a result, there is a …

A novel intrusion detection framework for optimizing IoT security

A Qaddos, MU Yaseen, AS Al-Shamayleh, M Imran… - Scientific Reports, 2024 - nature.com
The emerging expanding scope of the Internet of Things (IoT) necessitates robust intrusion
detection systems (IDS) to mitigate security risks effectively. However, existing approaches …

[PDF][PDF] An IoT environment based framework for intelligent intrusion detection

H Safwan, Z Iqbal, R Amin, MA Khan… - CMC Comput. Mater …, 2023 - researchgate.net
Software-defined networking (SDN) represents a paradigm shift in network traffic
management. It distinguishes between the data and control planes. APIs are then used to …

IoT intrusion detection using machine learning with a novel high performing feature selection method

K Albulayhi, Q Abu Al-Haija, SA Alsuhibany… - Applied Sciences, 2022 - mdpi.com
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …

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 …

Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection

A Odeh, A Abu Taleb - Applied Sciences, 2023 - mdpi.com
Cybersecurity finds widespread applications across diverse domains, encompassing
intelligent industrial systems, residential environments, personal gadgets, and automobiles …

[PDF][PDF] An Efficient Intrusion Detection Approach Using Ensemble Deep Learning models for IoT.

H Mohamed, A Hamza, H Hefny - International Journal of Intelligent …, 2023 - inass.org
The internet of things (IoT) has gained great importance due to its applicability in various
daily life applications and its flexible and scalable framework. The wide and spreading use …