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 …

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 …

Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

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

Identifying the type of a network flow or a specific application has many advantages, such
as, traffic engineering, or to detect and prevent application or application types that violate …

Encrypted web traffic can reveal sensitive information of users, such as their browsing
behaviors. Existing studies on encrypted traffic analysis focus on website fingerprinting. We …

Network traffic classification, which has numerous applications from security to billing and
network provisioning, has become a cornerstone of today's computer networks. Previous …

Traffic classification is a technology for classifying and identifying sensitive information from
cluttered traffic. With the increasing use of encryption and other evasion technologies …

Network traffic analysis, ie, the umbrella of procedures for distilling information from network
traffic, represents the enabler for highly-valuable profiling information, other than being the …

Nowadays, most Internet communications have adopted encrypted network access
technology for privacy protection, so encrypted traffic classification (ETC) has become a …