Traffic classification is the first step for network anomaly detection or network based intrusion
detection system and plays an important role in network security domain. In this paper we …

Traffic characterization is one of the major challenges in today's security industry. The
continuous evolution and generation of new applications and services, together with the …

Traffic classification technology has increased in relevance this decade, as it is now used in
the definition and implementation of mechanisms for service differentiation, network design …

The conformal predictions framework is a recent development in machine learning that can
associate a reliable measure of confidence with a prediction in any real-world pattern …

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 …

Recently, machine learning algorithms have been used to identify Internet of Things (IoT)
devices and events. However, existing proposals may inspect the packet payload, what …

Malware traffic classification (MTC) is a key technology for anomaly and intrusion detection
in secure Industrial Internet of Things (IIoT). Traditional MTC methods based on port …

The emergence of new Internet paradigms has changed the common properties of network
data, increasing the bandwidth consumption and balancing traffic in both directions. These …

Identifying encrypted application traffic represents an important issue for many network tasks
including quality of service, firewall enforcement and security. Solutions should ideally be …

With the development of the Internet of Things (IoT), the network is required to guarantee the
differential Quality of Service (QoS) requirements of the various data flows of various IoT …