Design and development of RNN anomaly detection model for IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2022 - ieeexplore.ieee.org
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …

An investigation and comparison of machine learning approaches for intrusion detection in IoMT network

A Binbusayyis, H Alaskar, T Vaiyapuri… - The Journal of …, 2022 - Springer
Abstract Internet of Medical Things (IoMT) is network of interconnected medical devices
(smart watches, pace makers, prosthetics, glucometer, etc.), software applications, and …

Golden Jackal Optimization with a Deep Learning-Based Cybersecurity Solution in Industrial Internet of Things Systems

LA Maghrabi, IR Alzahrani, D Alsalman, ZM AlKubaisy… - Electronics, 2023 - mdpi.com
Recently, artificial intelligence (AI) has gained an abundance of attention in cybersecurity for
Industry 4.0 and has shown immense benefits in a large number of applications. AI …

Seagull Optimization-based Feature Selection with Optimal Extreme Learning Machine for Intrusion Detection in Fog Assisted WSN

T Muthu, VK Kalimuthu - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak On the internet, various devices that are connected to the Internet of Things (IoT)
and Wireless Sensor Networks (WSNs) share the resources that they have in accordance …

A novel method to detect cyber-attacks in IoT/IIoT devices on the modbus protocol using deep learning

T Gueye, Y Wang, M Rehman, RT Mushtaq, S Zahoor - Cluster Computing, 2023 - Springer
The dominant intrusion detection models in internet of things industrial internet of things
cybersecurity use network-based datasets. The Modbus protocol is one of the most often …

[PDF][PDF] Wrapper Based Linear Discriminant Analysis (LDA) for Intrusion Detection in IIoT.

B Yasotha, T Sasikala… - Comput. Syst. Sci. Eng …, 2023 - cdn.techscience.cn
The internet has become a part of every human life. Also, various devices that are connected
through the internet are increasing. Nowadays, the Industrial Internet of things (IIoT) is an …

[PDF][PDF] An efficient security model for industrial internet of things (IIoT) system based on machine learning principles

SL Qaddoori, QI Ali - Al-Rafidain Engineering Journal (AREJ), 2023 - iasj.net
This paper presents a security paradigm for edge devices to defend against various internal
and external threats. The first section of the manuscript proposes employing machine …

Enhanced Black Widow Optimization with Hybrid Deep Learning Enabled Intrusion Detection in Internet of Things-based Smart Farming

RY Aburasain - IEEE Access, 2024 - ieeexplore.ieee.org
Agriculture has played a significant role in the lifespan of human beings for their survival and
the better economic growth of the country. Due to its intensified growth, smart agriculture has …

[HTML][HTML] A professional-driven blockchain framework for sharing E-Portfolio in the context of Industry 4.0

A Binbusayyis, T Vaiyapuri - ICT Express, 2023 - Elsevier
The journey towards Industry 4.0 have driven the workforce with the need for continuous
competency development to stay on top of their profession and remain attractive to their …

IA Applied to IIoT Intrusion Detection: An Overview

A Serhane, EM Hamzaoui… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Over years, the Industrial Internet of Things (IIoT) has evolved rapidly, offering increased
connectivity and benefits in terms of efficiency and productivity as well as significant …