With the rapid development of communication network technology, the types and quantity of
network traffic data are accordingly increasing. Network traffic classification has become a …

Network traffic classification serves as a building block for important tasks such as security
and quality of service management. The field has been studied for a long time, with many …

It is crucial to accurately identify the type of traffic and application so that it can enable
various policy-driven network management and security monitoring. However, with the …

Network traffic classification aims to recognize different application or traffic types by
analyzing received data packets. This paper presents a neural network model with deep and …

With the popularity of Deep Learning (DL), researchers have begun to apply DL to tackle
with encrypted traffic classification problems. Although these methods can automatically …

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

As the size and source of network traffic increase, so does the challenge of monitoring and
analyzing network traffic. The challenging problems of classifying encrypted traffic are the …

Encrypted traffic classification is of great significance for advanced network services. Though
encryption methods seem unbroken in protecting users' privacy, existing studies have …

In recent years, deep learning-based encrypted traffic classification has proven to be
effective; especially, using neural networks to extract features from raw traffic to classify …

By the rapid development of the Internet and online applications, traffic classification not only
has changed to an interesting topic in the field of computer networks but also plays a key …