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 …

The Darknet is a section of the internet that is encrypted and untraceable, making it a
popular location for illicit and illegal activities. However, the anonymity and encryption …

The development of TLS-based encrypted traffic comes with new challenges related to the
management and security analysis of encrypted traffic. There is an essential need for new …

Identifying Internet traffic applications is essential for network security and management. The
steady emergence of new Internet applications, together with the use of encryption and …

Network traffic classification is the process of analyzing traffic flows and associating them to
different categories of network applications. Network traffic classification represents an …

Network traffic classification is of significant importance. It helps identify network anomalies
and assists in taking measures to avoid them. However, classifying network traffic correctly is …

Variability in individual pain sensitivity is a major problem in pain assessment. There have
been studies reported using pain-event related potential (pain-ERP) for evaluating pain …

Encryption technique is widely used in the internet network for protecting user privacy,
maintaining the confidentiality of the data, avoiding firewall detection, and administrating the …

The identification of the nature of the traffic flowing through a TCP/IP network is a relevant
target for traffic engineering and security related tasks. Despite the privacy concerns it …

Previous machine learning-based network traffic classification approaches hold the
assumption that training and testing network environment are of the same. This assumption …