Machine Learning's widespread application owes to its ability to develop accurate and
scalable models. In cyber-security, where labeled data is scarce, Semi-Supervised Learning …

Advances in communication technologies and artificial intelligence are accelerating the
paradigm of industrial Internet of Things (IIoT). With IIoT enabling continuous integration of …

With the increase of IoT devices and technologies coming into service, Malware has risen as
a challenging threat with increased infection rates and levels of sophistication. Without …

In recent years, with the rapid development of the Internet of Things (IoT), various
applications based on IoT have become more and more popular in industrial and living …

In the context of the proliferated evolution of network service types and the expeditious
augmentation of network resource deployment, the requisition for copious labeled datasets …

With the rapid development of network technology, the Internet has accelerated the
generation of network traffic, which has made network security a top priority. In recent years …

Classification of network traffic data into different applications, services, or types is critical for
network service providers to monitor networks and maintain Quality of Service (QoS). With …

The growth of Internet of Things devices and technologies has given rise to a challenging
new threat in the form of user data traffic flow. When there is insufficient channel allocation …

There is a continuous evolution of technological devices leading to a huge amount of traffic
data on the internet. This presents Internet Service Providers with changes in the Quality of …

Edge networking brings computation and data storage as close to the point of request as
possible. Various intelligent devices are connected to the edge nodes where traffic packets …