The network traffic congestion classifier is essential for network monitoring systems. Network
traffic characterization is a methodology to classify traffic into several classes supporting …

Identifying Internet traffic applications is essential for network security and management. The
steady emergence of new Internet applications, together with the use of encryption and …

In traditional campus network, application-layer classification is often achieved by using
specific devices that support application-layer classification. Since different vendors have …

The increased data transfers and rapidly evolving cloud services lead to the inevitable need
for the new techniques applied to communication networks, such as AI, machine learning …

As a basic method for monitoring the activities of Internet applications, traffic identification is
very important for Internet management and security. Internet traffic data naturally exhibits …

Feature selection is often used as a pre-processing step for machine learning based
network traffic classification. Many feature selection techniques have been developed to find …

Botnets are networks of compromised computers infected with malicious code that can be
controlled remotely under a common command and control (C&C) channel. Recognized as …

This paper proposes a deep recurrent neural network (RNN)-based traffic classification
scheme (deep RNN-TCS) for classifying applications from traffic patterns in a hybrid edge …

The popularity of social media has been increasing tremendously in recent times and thus
cyberbullying towards people has also increased at an alarming rate. Many cyberbullying …

Smart speakers and voice-based virtual assistants are used to retrieve information, interact
with other devices, and command a variety of Internet of Things (IoT) nodes. To this aim …