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cs.AI2020
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…
cs.AI2020
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…
cs.AI2020
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…