As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

Traffic analysis is the process of monitoring network activities, discovering specific patterns,
and gleaning valuable information from network traffic. It can be applied in various fields …

Encrypted traffic classification requires discriminative and robust traffic representation
captured from content-invisible and imbalanced traffic data for accurate classification, which …

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 …

Traffic classification has been studied for two decades and applied to a wide range of
applications from QoS provisioning and billing in ISPs to security-related applications in …

The massive adoption of hand-held devices has led to the explosion of mobile traffic
volumes traversing home and enterprise networks, as well as the Internet. Traffic …

As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …

With more attention paid to user privacy and communication security, the volume of
encrypted traffic rises sharply, which brings a huge challenge to traditional rule-based traffic …

The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

Abstract Mobile Traffic Classification (TC) has become nowadays the enabler for valuable
profiling information, other than being the workhorse for service differentiation or blocking …