Speakers
Aims:
Experts from top schools in Europe will give classes in this school. The goal of the school is to offer the students methodologies and tools to analyze IP traffic traces, and in particular to identify anomalies in the dataset, a topic of extreme interest in modern networks.
In particular,
- Patrick Thiran and Katerina Argyraki from EPFL will cover network tomography topics, which are useful for both network monitoring and anomaly detection. Katerina would cover also network accountability and denial-of-service defenses, topics she studied during her PhD at Stanford Univerisity.
- Kavé Salamatian from will show how traditional signal processing approaches can be successfully used for anomaly detection in IP networks. Using concepts like Entropy and methodologies like Principal Component Analysis, input data are filtered to extract the major characteristics and then identify possible anomalies.
- Christian Callegari from University of Pisa has spent his PhD focussing on Anomaly detection in IP Networks. His tutorial on anomaly and intrusion detection will then cover Intrusion Detection Expert System, Statistical Anomaly Detection, Clustering methodologies and Markovian Models.
- Maurizio Molina from DANTE from DANTE has a strong experience on the problem ISP faces when running their network. He is an expert on Netflow, and will bring the point of view of a network provider/operator, showing real examples and datasets focusing on the identification and analysis of security threaths directly in the network core.
During the classes, real examples and laboratories will be offered, to allow the students to apply the methodologies on real examples.