A masking-based federated singular value decomposition method for anomaly detection in industrial internet of things

O Hordiichuk-Bublivska, H Beshley… - … Journal of Web …, 2023 - inderscienceonline.com
The industrial internet of things (IIoT) is a flexible and scalable manufacturing system that
can collect and analyse data from sensors based on machine learning, cloud, and edge …

AALMOND: Decentralized Adaptive Access Control of Multi-Party Data Sharing in Industrial Networks

R Saha, G Kumar, M Conti, T Devgun… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Access control is an important security parameter in industrial networks; a mismanaged
access control system leads to security breaches. The existing security solutions significantly …

An explainable machine learning-based web attack detection system for industrial IoT web application security

O Chakir, Y Sadqi… - … Security Journal: A Global …, 2024 - Taylor & Francis
ABSTRACT Within Industry 4.0, the integration of Industrial IoT (IIoT) marks a transformative
phase for modern industries, fostering the development of smart factories and intelligent …

A review of hybrid cyber threats modelling and detection using artificial intelligence in IIoT

Y Liu, S Li, X Wang, L Xu - Computer Modeling in …, 2024 - digitalcommons.odu.edu
Abstract The Industrial Internet of Things (IIoT) has brought numerous benefits, such as
improved efficiency, smart analytics, and increased automation. However, it also exposes …

A Blockchain-based Intrusion Detection/Prevention Systems in IoT Network: A Systematic Review

K Shalabi, QA Al-Haija, M Al-Fayoumi - Procedia Computer Science, 2024 - Elsevier
Abstract The Internet of Things (IoT) is an innovative technology used in manufacturing,
environmental monitoring, home automation, human health applications, and other fields …

GPT and Interpolation-Based Data Augmentation for Multiclass Intrusion Detection in IIoT

FS Melícias, TFR Ribeiro, C Rabadão, L Santos… - IEEE …, 2024 - ieeexplore.ieee.org
The absence of essential security protocols in Industrial Internet of Things (IIoT) networks
introduces cybersecurity vulnerabilities and turns them into potential targets for various …

Deep learning based attack detection in IIoT using two-level intrusion detection system

K Raja, K Karthikeyan, B Abilash, K Dev, G Raja - 2021 - researchsquare.com
Abstract The Industrial Internet of Things (IIoT), also known as Industry 4.0, has brought a
revolution in the production and manufacturing sectors as it assists in the automation of …

Passive Wireless Vibration Sensors Based on the Amplitude Modulation of Harmonic Backscattering

V Palazzi, F Alimenti, P Mezzanotte… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article presents a wireless passive vibration sensor based on harmonic backscattering.
The adopted vibration transducer is a commercial piezoelectric cantilever. The cantilever is …

[HTML][HTML] The enabling technologies for digitalization in the chemical process industry

M Pietrasik, A Wilbik, P Grefen - Digital Chemical Engineering, 2024 - Elsevier
In this paper, we provide an overview of the technologies that enable digitalization in the
chemical process industry and describe their applications to solve problems in industrial …

A Comprehensive Analysis of the Machine Learning Algorithms in IoT IDS Systems

E Ozdogan - IEEE Access, 2024 - ieeexplore.ieee.org
In this study, machine learning algorithms in IoT IDS (Internet of Things Intrusion Detection
System) systems are comprehensively compared from various aspects. Accuracy, precision …