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Number of documents

11

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.


Annie Gravey   

Journal articles2 documents

  • 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⟩
  • Osman Salem, Sandrine Vaton, Annie Gravey. A novel approach for anomaly detection over high-speed networks. Lecture notes in electrical engineering, 2009, 30, pp.49 - 68. ⟨10.1007/978-0-387-85555-4_4⟩. ⟨hal-02282371⟩

Conference papers8 documents

  • Osman Salem, Ahmed Mehaoua, Sandrine Vaton, Annie Gravey. Flooding attacks detection and victim identification over high speed networks. GIIS'2009 : IEEE Global Information Infrastructure Symposium, Jun 2009, Hammamet, Tunisia. ⟨hal-00504329⟩
  • Osman Salem, Ahmed Mehaoua, Sandrine Vaton, Annie Gravey. Flooding attacks detection and victim identification over high speed networks. GIIS'2009 : IEEE Global Information Infrastructure Symposium, Jun 2009, Hammamet, Tunisia. ⟨hal-00504328⟩
  • Osman Salem, Sandrine Vaton, Annie Gravey. An efficient online anomalies detection mechanism for high-speed networks. MonAM 2007 : Second IEEE Workshop on Monitoring, Attack Detection and Mitigation, Nov 2007, Toulouse, France. pp.1-6. ⟨hal-00504313⟩
  • Osman Salem, Sandrine Vaton, Annie Gravey. An efficient online anomalies detection mechanism for high-speed networks. MonAM 2007 : Second IEEE Workshop on Monitoring, Attack Detection and Mitigation, Nov 2007, Toulouse, France. pp.1-6. ⟨hal-00504314⟩
  • Osman Salem, Sandrine Vaton, Annie Gravey. A novel approach for anomaly detection over high-speed networks. EC2ND : European Conference on Computer Network Defense, Oct 2007, Heraklion, Greece. ⟨hal-00504310⟩
  • Sandrine Vaton, Annie Gravey. Network tomography: an iterative bayesian analysis. ITC 2003 : 18th International Teletraffic Congress, Aug 2003, Berlin, Allemagne. pp.261 - 270. ⟨hal-02141670⟩
  • Sandrine Vaton, Annie Gravey. Network tomography: an iterative bayesian analysis. ITC 2003 : 18th International Teletraffic Congress, 2003, Unknown, Unknown Region. pp.261-270. ⟨hal-01848251⟩
  • Sandrine Vaton, Annie Gravey. Iterative bayesian estimation of network traffic matrices in the case of bursty flows. Internet Measurement Workshop, Nov 2002, Marseille, France. ⟨hal-01848252⟩

Book sections1 document

  • Sandrine Vaton, J.S Bedo, Annie Gravey. Advanced methods for the estimation of the origin destination traffic matrix. Performance Evaluation and Planning Methods for the Next Generation Internet (25 th du GERARD), A. Girard, B. Sanso, F. Vazquez-Abad, 2005. ⟨hal-00504053⟩