4 papers
DeepMAL -- Deep Learning Models for Malware Traffic Detection and Classification
Gonzalo Marín, Pedro Casas, Germán Capdehourat
Robust network security systems are essential to prevent and mitigate the harming effects of the ever-growing occurrence of network attacks. In recent years, machine learning-based…
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research Directions
Pedro Casas
The popularity of Artificial Intelligence (AI) -- and of Machine Learning (ML) as an approach to AI, has dramatically increased in the last few years, due to its outstanding perfor…
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis
Andrea Morichetta, Pedro Casas, Marco Mellia
The application of unsupervised learning approaches, and in particular of clustering techniques, represents a powerful exploration means for the analysis of network measurements. D…
A Survey on Big Data for Network Traffic Monitoring and Analysis
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta +2
Network Traffic Monitoring and Analysis (NTMA) represents a key component for network management, especially to guarantee the correct operation of large-scale networks such as the…