With the explosive grown network traffic, the traditional port-and payload-based methods are
insatiable for the requirements of privacy protection as well as the fast real-time classification …

Aiming at the problem that the data traffic in the intelligent wireless communication system
presents complex characteristics such as burstiness and self-similarity, which leads to the …

The diminished accuracy of port-based and payload-based classification motivates use of
transport layer statistics for network traffic classification. A semi-supervised clustering …

Network traffic classification is essential in supporting network measurement and
management. Many existing traffic classification approaches provide application-level …

With the increase in cyber threats in recent years, there have been more forms of demand for
network security protection measures. Network traffic classification technology is used to …

Traffic classification groups similar or related traffic data, which is one main stream
technique of data fusion in the field of network management and security. With the rapid …

This study provides a new platform for classifying encrypted network traffic based on
machine learning (ML) techniques. The architecture of the platform is designed for real …

Internet traffic classification is a critical and essential functionality for network management
and security systems. Due to the limitations of traditional port-based and payload-based …

Traffic classification is considered an important research area due to the increasing demand
in network users. It not only effectively improve the network service identifications and …

Traffic classification is an invaluable tool which can category network traffics into a number
of traffic classes according to various parameter settings. It can not only provide better QoS …