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 …

Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

Network traffic classification has become more important with the rapid growth of Internet
and online applications. Numerous studies have been done on this topic which have led to …

With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …

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 groups similar or related traffic data, which is one main stream
technique of data fusion in the field of network management and security. With the rapid …

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 …

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 research community has begun looking for IP traffic classification techniques that do not
rely onwell known'TCP or UDP port numbers, or interpreting the contents of packet …

From basic concepts in machine learning and data mining to advanced problems in the
machine learning domain, this book provides a unified reference for specific machine …