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Prof. Sandrine VATON


Experienced Full Professor with a demonstrated history of working in the telecommunications industry.

Skilled in Mathematical Modeling, Network Management, Network Security, Signal Processing and Digital Communications, Statistics, Time Series Analysis and Stochastic Simulations, Software and Hardware Acceleration, Computational Finance.

Strong education professional with a PhD in signal processing from Telecom ParisTech and an accreditation to supervise research (HDR) in computer science from the University of Rennes 1.

Gender equality adviser committed to promote computer science initiatives that reach girls.

Member of the Scientific Council at AFNIC.


2010   

Journal articles5 documents

  • Christian Callegari, Sandrine Vaton, Michele Pagano. A new statistical method for detecting network anomalies. European Transactions on Telecommunications, Wiley, 2010, 21 (7), pp.575-588. ⟨hal-00565947⟩
  • Osman Salem, Sandrine Vaton, Annie Gravey. A scalable, efficient and informative approach for anomaly-based intrusion detection systems: theory and practice. International Journal of Network Management, Wiley, 2010. ⟨hal-00565751⟩
  • Pedro Casas Hernandez, Federico Larroca, Jean Louis Rougier, Sandrine Vaton. Taming traffic dynamics : analysis and improvements. Computer Communications, Elsevier, 2010. ⟨hal-00565750⟩
  • Pedro Casas Hernandez, Sandrine Vaton, Lionel Fillatre, Igor Nikiforov. Optimal volume anomaly detection and isolation in large-scale IP networks using coarse-grained measurements. Computer Networks, Elsevier, 2010, ⟨10.1016/j.comnet.2010.01.013⟩. ⟨hal-00724659⟩
  • Pedro Casas Hernandez, Lionel Fillatre, Sandrine Vaton, Igor Nikiforov. Reactive robust routing: anomaly localization and routing reconfiguration for dynamic networks. Journal of Network and Systems Management, Springer Verlag, 2010, 19 (1), pp.58-83. ⟨10.1007/s10922-010-9182-9⟩. ⟨hal-00565752⟩

Conference papers3 documents

  • Pedro Casas Hernandez, Sandrine Vaton. On the use of random neural networks for traffic matrix estimation in large-scale IP networks. 1st International Workshop on Traffic Analysis and Classification (TRAC), Jun 2010, Caen, France. ⟨hal-00504343⟩
  • Pedro Casas Hernandez, Sandrine Vaton. On the use of random neural networks for traffic matrix estimation in large-scale IP networks. 1st International Workshop on Traffic Analysis and Classification (TRAC), Jun 2010, Caen, France. ⟨hal-00504342⟩
  • Nicolas Le Sauze, Agostino Chiosi, Richard Douville, Hélia Pouyllau, Häkon Lonsethagen, et al.. ETICS: QoS-enabled interconnection for Future Internet services. Future Network and Mobile Summit, Jun 2010, Florence, Italie. ⟨hal-00836641⟩