… In this section, we study these four popular SCADA communication protocols along with
their main security vulnerabilities. Since the main focus of this paper is on the network …

… Intrusion detection technology can actively detect abnormal behaviors in the network and
is important to the security of Industrial Internet of Things (IIOT). However, there are some …

… transfer learning was evaluated. The pre-trained multiclass CNN paradigm takes advantage
of transfer learning … , the only study [52] that has employed a transfer learning technique for …

… the efficiency of industrial production/service. In this study, we propose a collaborative sensing
intelligence (CSI) framework, combining collaborative intelligence and industrial sensing …

… adaptive method that combines transfer learning and federated learning. By leveraging user
… [33] presented a federated transfer learning framework based on a weighted joint average …

… In simulations, we adopt transfer learning [23] to improve the training speed. … learning with
cooperating devices: A consensus approach for massive IoT networks,” IEEE Internet Things …

… The application of IoT to the industrial field has spawned a new research area called the
Industrial Internet of Things (IIoT). IIoT is a new service-oriented industrial ecosystem using the …

… On the other hand, transfer learning enables knowledge transfer between related domains,
while deep learning excels at complicated pattern recognition tasks like image and speech …

… in industrial monitoring system must detect any abnormal behavior in advance. Recently,
self-supervised learning … method using a self-supervised learning framework in a time-series …

… in industrial Internet of Things (IIoT) is evident due to the massive deployment of sensors and
Internet of Things … In this study, we investigate the recent BDA technologies, algorithms and …