Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Classifying host roles based on network traffic behavior is valuable for network security
analysis and detecting security policy violation. Behavior-based network security analysis …

The increased interest in secure and reliable communications has turned the analysis of
network traffic data into a predominant topic. A high number of research papers propose …

Different techniques for traffic classification are utilized in various fields of application. In this
technical report, we look closer on how statistical analysis can be used to identify network …

Adversarial lateral movement via compromised accounts remains difficult to discover via
traditional rule-based defenses because it generally lacks explicit indicators of compromise …

The continuous growth of Internet and its applications caused more difficulties for analyzing
Internet communications which are becoming more and more complex, this has caused new …

Large datasets of real network flows acquired from the Internet are an invaluable resource
for the research community. Applications include network modeling and simulation …

VoIP applications are becoming popular these days. A lot of Internet traffic are being
generated by them. Detection of VoIP traffic is becoming important because of QoS issues …

Network flow monitoring is currently a common practice in mid‐and large‐size networks.
Methods of flow‐based anomaly detection are subject to ongoing extensive research …

Abstract Machine learning based network traffic classification is a critical technique for
network management, and has attracted much attention. Recently, most of the researchers …