[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 …

[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 …

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

R Lazzarini, H Tianfield, P Charissis - A Stacking Ensemble of …, 2023 - papers.ssrn.com
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 …

A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things

H Liao, MZ Murah, MK Hasan, AHM Aman… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …

[PDF][PDF] Intrusion detection in IoT with logistic regression and artificial neural network: Further investigations on n-baIoT dataset devices

F Abbasi, M Naderan, SE Alavi - Journal of Computing and Security, 2021 - jcomsec.ui.ac.ir
Due to the increasing development and applications of the Internet of Things (IoT), detection
and prevention of intruders into the network and devices has gained much attention in the …

A survey of machine learning techniques for iot security

CT Thanh - International Conference on Future Data and Security …, 2021 - Springer
Abstract The Internet of Things (IoT) has begun to reform and alter our lives due to its rapid
expansion. The internet-connected deployment of a significant number of things has opened …

Intrusion Detection in IoT Systems Using Ensemble Machine Learning Techniques

B Laha, D Basu, S Biswas, P Gupta… - 2023 IEEE 4th Annual …, 2023 - ieeexplore.ieee.org
Intrusion detection systems (IDS) are essential for the security of IoT systems due to the
increased number of potential intruders and attackers resulting from the exponential …

Performance evaluation of machine learning algorithms for intrusion detection in IoT applications

NY Jien, M Tahir, M Dabbagh… - … in Engineering and …, 2022 - ieeexplore.ieee.org
It is estimated that the number of IoT devices will reach 50 billion by 2030, with its wide
range of applications and ease of use. However, in recent years, it has been established that …

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 …

Hybrid Machine Learning based Intrusion Detection System for IoT

K Mittal, PK Batra - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is susceptible to several attacks by insiders and outsiders. IoT
requires an effective Intrusion Detection System (IDS). The development of IDSs that can …