[PDF][PDF] A hybrid deep learning-based intrusion detection system for IoT networks

NW Khan, MS Alshehri, MA Khan, S Almakdi… - Math. Biosci …, 2023 - aimspress.com
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential
applications, but the security of IoT networks remains a major concern. The existing system …

[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] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT

M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …

CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks

BA Alabsi, M Anbar, SDA Rihan - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …

[PDF][PDF] Exploring Machine Learning Intrusion Detection: Addressing Security and Privacy Challenges in IoT-A Comprehensive Review

G Krishnamoorthy, SMK Sistla - Journal of Knowledge Learning …, 2023 - researchgate.net
With billions of IoT devices in operation globally, vast amounts of data are generated, posing
significant security challenges throughout the data lifecycle. Machine learning (ML) offers a …

MAGRU-IDS: A multi-head attention-based gated recurrent unit for intrusion detection in IIoT networks

S Ullah, W Boulila, A Koubaa, J Ahmad - IEEE Access, 2023 - ieeexplore.ieee.org
The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial
environments amplifies the potential for security breaches and compromises. To monitor IIoT …

An ensemble multi-view federated learning intrusion detection for IoT

DC Attota, V Mothukuri, RM Parizi, S Pouriyeh - IEEE Access, 2021 - ieeexplore.ieee.org
The rise in popularity of Internet of Things (IoT) devices has attracted hackers to develop IoT-
specific attacks. The microservice architecture of IoT devices relies on the Internet to provide …

Transfer-learning-based intrusion detection framework in IoT networks

E Rodríguez, P Valls, B Otero, JJ Costa, J Verdú… - Sensors, 2022 - mdpi.com
Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day
attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion …

Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats

Z Chen, J Liu, Y Shen, M Simsek, B Kantarci… - ACM Computing …, 2022 - dl.acm.org
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …

An IoT intrusion detection system based on TON IoT network dataset

G Guo, X Pan, H Liu, F Li, L Pei… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
As the Internet of Things (IoT) rapidly proliferate in the world, new attacks exploiting the
weaknesses of the unfledged IoT technologies are emerging constantly. An Intrusion …