Convolutional neural networks (CNNs) have received widespread attention due to their
powerful modeling capabilities and have been successfully applied in natural language …

As cyber-attacks increase in unencrypted communication environments such as the
traditional Internet, protected communication channels based on cryptographic protocols …

Encrypted traffic classification is receiving widespread attention from researchers and
industrial companies. However, the existing methods only extract flow-level features, failing …

Network traffic classification is the fundamental and vital function for network management,
network security and so on. With the traffic scenarios becoming more and more complex …

The use of encryption for network communication leads to a significant challenge in
identifying malicious traffic. The existing malicious traffic detection techniques fail to identify …

With the widespread application of blockchain technology, the cyberspace security issue of
phishing has also appeared in the emerging blockchain cryptocurrency ecosystem. Because …

With the increasing size and complexity of network, network traffic becomes more and more
correlated with each other, and the traditional manner of presenting network traffic in a …

Abstract Internet of Things (IoT) devices are increasingly permeating homes, industries, and
many other environments. The need for robust security measures in IoT networks has never …

Abstract Network Traffic Classification (NTC) is crucial for ensuring internet security, but
encryption presents significant challenges to this task. While Machine Learning (ML) and …

As the Internet industry evolves, the need for effective encrypted traffic classification (ETC)
becomes critical for network management and cybersecurity. Meanwhile, existing deep …