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 …
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
Access control is an important security parameter in industrial networks; a mismanaged
access control system leads to security breaches. The existing security solutions significantly …
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
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 …
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 …
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 …
environmental monitoring, home automation, human health applications, and other fields …
GPT and Interpolation-Based Data Augmentation for Multiclass Intrusion Detection in IIoT
The absence of essential security protocols in Industrial Internet of Things (IIoT) networks
introduces cybersecurity vulnerabilities and turns them into potential targets for various …
introduces cybersecurity vulnerabilities and turns them into potential targets for various …
Deep learning based attack detection in IIoT using two-level intrusion detection system
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 …
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
This article presents a wireless passive vibration sensor based on harmonic backscattering.
The adopted vibration transducer is a commercial piezoelectric cantilever. The cantilever is …
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 …
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 …
System) systems are comprehensively compared from various aspects. Accuracy, precision …