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 …

As a fundamental tool for network management and security, traffic classification has
attracted increasing attention in recent years. A significant challenge to the robustness of …

In network traffic classification,“unknown applications” is a difficult problem unsolved.
Conventional supervised classification methods classify any traffic flow into predefined …

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

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 …

The rapid growth of current computer networks and their applications has made network
traffic classification more important. The latest approach in this field is the use of deep …

Traffic classification is a critical task in network security and management. Recent research
has demonstrated the effectiveness of the deep learning-based traffic classification method …

Traffic classification has wide applications in network management, from security monitoring
to quality of service measurements. Recent research tends to apply machine learning …

Class imbalance has become a big problem that leads to inaccurate traffic classification.
Accurate traffic classification of traffic flows helps us in security monitoring, IP management …