Deep packet inspection (DPI) technologies provide much-needed visibility and control of
network traffic using port-independent protocol identification, where a network flow is …

When employing supervised machine learning to analyze network traffic, the heart of the
task often lies in developing effective features for the ML to leverage. We develop GGFAST …

Traffic classification technique is an essential tool for network and system security in the
complex environments such as cloud computing based environment. The state-of-the-art …

Fog/edge computing, function as a service, and programmable infrastructures, like software-
defined networking or network function virtualisation, are becoming ubiquitously used in …

Recent research on Internet traffic classification has yield a number of data mining
techniques for distinguishing types of traffic, but no systematic analysis on" Why" some …

Classifying network flows by their application type is the backbone of many crucial network
monitoring and controlling tasks, including billing, quality of service, security and trend …

Popularity of social media has increased rapidly and now it is very easy to interact with
different persons across social media. As a result, cyberbullying towards people across …

Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied
on full-flows or the first few packets of flows. In contrast, many real-world scenarios require a …

The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

Network traffic classification and application identification provide important benefits for IP
network engineering, management and control and other key domains. Current popular …