The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …

The area of Internet traffic measurement has advanced enormously over the last couple of
years. This was mostly due to the increase in network access speeds, due to the …

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 …

In recent years, linguistic steganography based on text auto-generation technology has
been greatly developed, which is considered to be a very promising but also a very …

Linguistic steganography based on text carrier auto-generation technology is a current topic
with great promise and challenges. Limited by the text automatic generation technology or …

With the widespread use of encrypted data transport, network traffic encryption is becoming
a standard nowadays. This presents a challenge for traffic measurement, especially for …

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 …

Darknet traffic classification is significantly important to categorize real-time applications.
Although there are notable efforts to classify darknet traffic which rely heavily on existing …

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

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 …