[HTML][HTML] Enhancing IoT network security through deep learning-powered Intrusion Detection System

SA Bakhsh, MA Khan, F Ahmed, MS Alshehri, H Ali… - Internet of Things, 2023 - Elsevier
The rapid growth of the Internet of Things (IoT) has brought about a global concern for the
security of interconnected devices and networks. This necessitates the use of efficient …

[HTML][HTML] 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 …

[HTML][HTML] TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks

S Ullah, J Ahmad, MA Khan, MS Alshehri, W Boulila… - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a global network that connects a large number of
smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to …

Design of an intrusion detection model for IoT-enabled smart home

D Rani, NS Gill, P Gulia, F Arena, G Pau - IEEE Access, 2023 - ieeexplore.ieee.org
Machine learning (ML) provides effective solutions to develop efficient intrusion detection
system (IDS) for various environments. In the present paper, a diversified study of various …

[HTML][HTML] Trustworthy Artificial Intelligence Methods for Users' Physical and Environmental Security: A Comprehensive Review

S Szymoniak, F Depta, Ł Karbowiak, M Kubanek - Applied Sciences, 2023 - mdpi.com
Artificial Intelligence is an indispensable element of the modern world, constantly evolving
and contributing to the emergence of new technologies. We meet it in everyday applications …

[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 …

Abnormal transactions detection in the ethereum network using semi-supervised generative adversarial networks

YK Sanjalawe, SR Al-E'mari - IEEE Access, 2023 - ieeexplore.ieee.org
Numerous abnormal transactions have been exposed as a result of targeted attacks on
Ethereum, such as the Ethereum Decentralized Autonomous Organization attack. Exploiting …

[PDF][PDF] Intrusion detection in the Internet of Things using fusion of GRU-LSTM deep learning model

MS Al-kahtani, Z Mehmood, T Sadad… - … Automation & Soft …, 2023 - researchgate.net
Cybersecurity threats are increasing rapidly as hackers use advanced techniques. As a
result, cybersecurity has now a significant factor in protecting organizational limits. Intrusion …

Traffic data extraction and labeling for machine learning based attack detection in IoT networks

H Gebrye, Y Wang, F Li - International Journal of Machine Learning and …, 2023 - Springer
The fast expansion of the Internet of Things (IoT) networks raises the possibility of further
network threats. In today's world, network traffic analysis has become an increasingly critical …

Toward Enhanced Attack Detection and Explanation in Intrusion Detection System-Based IoT Environment Data

RW Wardhani, DSC Putranto, U Jo, H Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Securing the Internet of Things (IoT) against cyber threats is a formidable challenge, and
Intrusion Detection Systems (IDS) play a critical role in this effort. However, the lack of …