Results 51 to 60 of about 2,536 (180)

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

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

Complexity, 2021
In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers.
Zhen Ying, Iftikhar Ahmad, Saima Mateen, Asad Zia, Ambreen, Shah Nazir, Neelam Mukhtar   +6 more
doaj   +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

A Lightweight, Secure and Resource-Efficient Mechanism for Device Authentication and Session Key Generation in Industrial Internet of Things (IIoT) Environments

IEEE Open Journal of the Communications Society
With the advent of the Internet of Things (IoT)- a ground-breaking communication technology, it is now possible to link devices with homogenous activities to the Internet.
Usha Jain, Muzzammil Hussain, Brij B. Gupta   +2 more
doaj   +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

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

Industrial IoT oriented petahertz communication

物联网学报, 2022
Compared with traditional radio frequency communication, petahertz communication (PetaCom) enjoys several distinct advantages including high data rate, low latency and high determinacy, exhibiting essential application potential in industrial internet of
Nuo HUANG, Weijie LIU, Chen GONG
doaj   +2 more sources

Modeling and Stability Analysis of Malware Propagation in Hierarchically Protected WSNs Based on Epidemiological Theory

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel malware propagation model based on epidemiological theory, specifically tailored for hierarchically protected wireless sensor networks (WSNs). We classify nodes into strongly and weakly protected categories and establish a four‐state propagation dynamics model (susceptible, exposed, infected, and recovered) to simulate ...
Xuejin Zhu, Nan Fu
wiley   +1 more source