The Darknet is a section of the internet that is encrypted and untraceable, making it a
popular location for illicit and illegal activities. However, the anonymity and encryption …

Classifying network time series (NTS) is crucial for automating network administration and
ensuring cyberspace security. It enables the detection of anomalies, the identification of …

Over the last years we witnessed a renewed interest toward Traffic Classification (TC)
captivated by the rise of Deep Learning (DL). Yet, the vast majority of TC literature lacks …

The recent success of Artificial Intelligence (AI) is rooted into several concomitant factors,
namely theoretical progress coupled with abundance of data and computing power. Large …

Malware traffic classification (MTC) is one of the important techniques to ensure the security
of cyberspace, which aims to detect anomalies and classify different types of network traffic …

The Quick UDP Internet Connections (QUIC) protocol provides advantages over traditional
TCP, but its encryption functionality reduces the visibility for operators into network traffic …

The chapter aims to provide readers with a comprehensive understanding of AI's role in
enhancing the detection, prevention, and mitigation of network threats for safeguarding …

The paper argues for the feasibility and utility of micro foundation models (µFMs), a key
direction for future smart IoT/CPS systems that exploits advances in self-supervised …

Network traffic classification has become more important with the rapid growth of the Internet
and online applications. The rapid development of the Internet has enabled explosive …

Traffic classification plays a crucial role in various domains of network management,
including architectural structure, service measurement, advertising, and security monitoring …