With the increasing complexity and scale of modern networks, the demand for transparent
and interpretable Artificial Intelligence (AI) models has surged. This survey comprehensively …

As increasingly complex and dynamic volumetric DDoS attacks continue to wreak havoc on
edge networks, two recent developments promise to bolster DDoS defense at the edge …

Fine-grained traffic analysis (FGTA), as an advanced form of traffic analysis (TA), aims to
analyze network traffic to deduce fine-grained information on or above the application layer …

The privacy of online social networks (OSNs) remains a major concern for today's Internet.
Researchers have demonstrated that by analyzing inter-packet or packet-level network …

Fine-grained traffic analysis (FGTA), as an advanced form of traffic analysis (TA), aims to
analyze network traffic to deduce information related to application-layer activities, fine …

This paper explores the application of goaloriented machine-learning techniques, and in
particular leveraging recent advances in deep reinforcement-learning (RL) networks to …

A direct and intuitive way to improve the efficiency of machine learning (ML)-based decision-
making for network traffic monitoring tasks like detecting volumetric DDoS attacks [8, 7, 17 …