Network traffic classification has long been a pivotal topic in network security. In the past two
decades, methods like port-based classification, deep packet inspection, and machine …

Identifying mobile applications (apps) from encrypted network traffic (also known as app
fingerprinting) plays an important role in areas like network management, advertising …

The effectiveness of deep-learning-based malicious traffic detection systems relies on high-
quality labeled traffic datasets. However, malicious traffic labeling approaches can easily …

The continuous emergence of malware has threatened to the Android platform and user
privacy. With the evolution of the Android system and malware, it is challenging to design a …

Network traffic classification plays a crucial role in both network management and
monitoring. Recently, an increasing number of Decentralized Applications (DApps) are …

Encrypted traffic classification (ETC) requires differentiated and robust traffic representation
captured from content-agnostic and imbalanced traffic data for accurate classification, which …

Identifying Decentralized Applications (DApps) from encrypted network traffic plays an
important role in areas such as network management and threat detection. However, DApps …

Blockchain technology has ushered in a transformative paradigm of decentralized and
transparent systems, offering innovative solutions across diverse sectors. While these …

With the continuously growing requirement for encryption in network environments, web
browsers are increasingly employing hypertext transfer protocol security. Despite the …

Accurate classification and identification of Internet traffic are crucial for maintaining network
security. However, unknown network traffic in the real world can affect the accuracy of …