Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

Network Traffic Monitoring and Analysis (NTMA) represents a key component for network
management, especially to guarantee the correct operation of large-scale networks such as …

Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …

The recent development of smart devices has lead to an explosion in data generation and
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …

Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …

Research in large-scale networking systems has been shaped and will continue to be
guided by specific characteristics of applications and the underlying platforms and …

Network traffic analytics have increased in relevance as researchers promoted machine
learning techniques to tackle several traffic management challenges. Over the past decade …

The Internet is constantly growing in size and becoming more complex. The field of
networking is thus continuously progressing to cope with this monumental growth of network …

We present a processing pipeline for flow-based traffic classification using a machine
learning component leveraging Deep Neural Networks (DNNs). The system is trained to …

Recently, the advent of many network applications has led to a tremendous amount of
network traffic. A network operator must provide quality of service for each application on the …