Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions
The blockchain has emerged as an innovative and powerful technology that shows the
tremendous potential to enhance the smart industrial frameworks by providing encryption …
tremendous potential to enhance the smart industrial frameworks by providing encryption …
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms
With the substantial industrial growth, the industrial internet of things (IIoT) and many IoT
avenues have emerged. However, the existing industrial architectures are still inefficient to …
avenues have emerged. However, the existing industrial architectures are still inefficient to …
A deep learning methodology for predicting cybersecurity attacks on the internet of things
OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …
objects intensifies cybersecurity threats. The vast communication traffic data between …
Intrusion detection framework for the internet of things using a dense random neural network
The Internet of Things (IoT) devices, networks, and applications have become an integral
part of modern societies. Despite their social, economic, and industrial benefits, these …
part of modern societies. Despite their social, economic, and industrial benefits, these …
A federated learning framework for cyberattack detection in vehicular sensor networks
Abstract Vehicular Sensor Networks (VSN) introduced a new paradigm for modern
transportation systems by improving traffic management and comfort. However, the …
transportation systems by improving traffic management and comfort. However, the …
A bibliometric analysis of IoT applications in logistics and supply chain management
I Zrelli, A Rejeb - Heliyon, 2024 - cell.com
The rapid integration of the Internet of Things (IoT) into logistics and supply chain
management (SCM) marks a significant transformation towards enhanced efficiencies …
management (SCM) marks a significant transformation towards enhanced efficiencies …
A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks
The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …
autonomous operating qualities. IoT devices have become the most tempting targets of …
An anomaly-based intrusion detection system for internet of medical things networks
Over the past few years, the healthcare sector is being transformed due to the rise of the
Internet of Things (IoT) and the introduction of the Internet of Medical Things (IoMT) …
Internet of Things (IoT) and the introduction of the Internet of Medical Things (IoMT) …