189 citations · 292 across the 5 of their papers we have counts for
6 papers
On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series
Gastón García González, Pedro Casas, Alicia Fernández +1
Despite the many attempts and approaches for anomaly detection explored over the years, the automatic detection of rare events in data communication networks remains a complex prob…
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…
All that Glitters is not Bitcoin -- Unveiling the Centralized Nature of the BTC (IP) Network
Sami Ben Mariem, Pedro Casas, Matteo Romiti +3
Blockchains are typically managed by peer-to-peer (P2P) networks providing the support and substrate to the so-called distributed ledger (DLT), a replicated, shared, and synchroniz…