Results 71 to 80 of about 35,554 (200)

A Machine Learning Framework for Detecting and Preventing Cyber‐Attacks in Industrial Cyber‐Physical Systems

Engineering Reports, Volume 8, Issue 1, January 2026.
Proposed cyber physical system security framework. ABSTRACT The increasing adoption of cyber‐physical systems (CPS) in Industry 4.0 has heightened vulnerability to cyber threats. This study proposes a machine learning–based intrusion detection framework, DBID‐Net, to effectively identify and prevent attacks in CPS environments. The framework integrates
Anurag Sinha, Rejuwan Shamim, Mihika Mahendra, Trupti Mohota, G. Madhukar Rao, Mohammad Nadeem Ahmed, Mohammad Rashid Hussain, Satyam Solanki, Tanish Ranjan, Bhaskar, Mini Kumari, Karan Dixit, Vyom Modi, Syed Immamul Ansarullah, Mohd Asif Shah   +14 more
wiley   +1 more source

Enhancing Energy Efficiency in the Wood Furniture Sector Through Industry 4.0: Real‐Time Implementation and Case Study

Energy Technology, Volume 14, Issue 1, January 2026.
An Industry 4.0‐enabled system integrates smart sensors, augmented reality, and AI‐driven energy management to optimize heating and drying in wood furniture manufacturing. Tested in a Québec small and medium‐sized enterprise workshop, it maintains thermal comfort and material quality while reducing propane use by 86%.
Mohamed Haddouche, Adrian Ilinca, Mounir Chaouch   +2 more
wiley   +1 more source

IntelliMetro‐Hybrid: A Machine Learning and Deep Learning Fusion Model for Economic Optimization in Smart Metro Systems

Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 1, January 2026.
IntelliMetro‐Hybrid is an intelligent fusion framework that integrates machine learning (ML) and deep learning (DL) for real‐time anomaly detection and economic optimization in smart metro systems. The model combines tree‐based feature extraction (Random Forest, XG Boost) with a deep neural classifier to effectively handle imbalanced, heterogeneous ...
Sijin Peng, Yongchang Wei, Zhigang Sun, Yong Chen, Jiang Huang, Hao Chen, Liuyi Chen   +6 more
wiley   +1 more source

Blockchain in Communication Networks: A Comprehensive Review

IET Blockchain, Volume 6, Issue 1, January/December 2026.
This article provides a comprehensive review of blockchain applications in communication networks, focusing on domains such as IoT, 5G, vehicular systems, and decentralised trust infrastructures. It examines key challenges—including scalability, interoperability, and latency—and outlines future directions such as lightweight consensus protocols and AI ...
Quazi Mamun, Zhenni Pan, Jun Wu
wiley   +1 more source

A Concept for a Self-Sufficient Off-Grid and Backup Solutions for Power Supply and Grid Stabilization in Rural Areas with Wind-Solar-Hydropower for Central Asia

Proceedings of the International Conference on Applied Innovations in IT, 2019
The purpose of this work is to present a concept how to realize a decentral energy-efficient and selfsufficient energy supply system, consisting of a wind-photovoltaic (PV) or PV- micro-hydro power plants for a stable local energy supply.
Eduard Siemens, Stephan Krause, Sebastian Dittmann, Claus Wittmann, Jose Palacios   +4 more
doaj   +1 more source

Development of a Digital Twin for a Bakery Line With Predictive Analytics and Adaptive Control Functions

IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.
This paper presents the development of a digital twin for a bakery production line, integrating real‐time sensor data with a CNN + LSTM neural network for predictive analytics and adaptive control. The intelligent system successfully reduced defective products from 8% to 2% and decreased unplanned equipment downtime by 77%, demonstrating a significant ...
Bauyrzhan Amirkhanov, Murat Kunelbayev, Gulshat Amirkhanova, Tomiris Nurgazy, Gulnur Tyulepberdinova, Sholpan Tletay   +5 more
wiley   +1 more source

Enhancing Federated Learning in IoT: A Quality‐Based Incentive Mechanism With Stackelberg Game Modelling

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a quality‐based incentive mechanism for federated learning (FL) in Internet of Things (IoT) systems using a Stackelberg game framework. The mechanism rewards clients based on the quality of their uploaded models, ensuring fairness and motivating higher‐quality contributions.
Qinchi Li, Haitao Zhao, Qin Wang, Weicong Zhang, Yangzhi Chen, Zhixiang Hu   +5 more
wiley   +1 more source

Guardians of ICS: A Comparative Analysis of Anomaly Detection Techniques

IET Cyber-Physical Systems: Theory &Applications, Volume 11, Issue 1, January/December 2026.
This study presents a comparative evaluation of supervised and unsupervised learning models for anomaly detection in industrial control systems (ICS), using data from the SWaT testbed. Results show that although supervised models offer higher precision, they miss more unknown attacks, whereas unsupervised models achieve better recall but with increased
Zequn Wang, Muhammad Azmi Umer, Haibo Zhang, Naveed ul Hassan, Chuadhry Mujeeb Ahmed   +4 more
wiley   +1 more source

Indoor Localization of Industrial IoT Devices and Applications Based on Recurrent Neural Networks

Journal of Communications Software and Systems
Industrial Internet of Things (IIoT) has become an indispensable element of smart industrial facilities, predicted to continue to grow at a rapid rate. Wireless technologies have become a standard part of today’s industrial facilities with applications ...
Ivan Marasović, Goran Majić, Ivan Škalic, Željka Tomasović   +3 more
doaj   +1 more source

CICAPT-IIOT: A provenance-based APT attack dataset for IIoT environment

The Industrial Internet of Things (IIoT) is a transformative paradigm that integrates smart sensors, advanced analytics, and robust connectivity within industrial processes, enabling real-time data-driven decision-making and enhancing operational efficiency across diverse sectors, including manufacturing, energy, and logistics.
Ghiasvand, Erfan, Ray, Suprio, Iqbal, Shahrear, Dadkhah, Sajjad, Ghorbani, Ali A.   +4 more
openaire   +2 more sources