Network traffic classification is an important task in modern communications. Several
approaches have been proposed to improve the performance of differentiating among …

Network traffic classification plays an important role in various network functions such as
network security issues and network management. In addition to port-based and payload …

Despite the large number of research efforts that applied specific machine learning
algorithms for network traffic classification, recent work has highlighted limitations and …

Network traffic classification, which has numerous applications from security to billing and
network provisioning, has become a cornerstone of today's computer networks. Previous …

For machine-learning-based network traffic classification, we usually need large number of
correctly labeled samples (ground truth) for model-training to get high accuracy. However in …

Network traffic classification is an increasingly significant prerequisite for network
management. An accurate traffic classifier can contribute to traffic engineering, traffic …

The application of deep learning has become prevalent in the area of network traffic
classification. Deep learning has acquired widespread use in network traffic classification …

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 …

Traffic classification has various applications in today's Internet, from resource allocation,
billing and QoS purposes in ISPs to firewall and malware detection in clients. Classical …

Network traffic classification categorizes traffic classes based on protocols (eg, HTTP or
DNS) or applications (eg, Facebook or Gmail). Its accuracy is a key foundation of some …