ASTUTE: Detecting a Different Class of Traffic Anomalies
Fernando Silveira, Christophe Diot, Nina Taft and Ramesh Govindan
ACM SIGCOMM, August, 2010.
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Detecting Traffic Anomalies using an Equilibrium Property (Extended Abstract)
Fernando Silveira, Christophe Diot, Nina Taft and Ramesh Govindan
ACM SIGMETRICS, June, 2010 - Best Poster Award.
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URCA: Pulling Anomalies by their Root Causes
Fernando Silveira and Christophe Diot
IEEE Infocom, March, 2010.
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Slides: PPT
Uncovering Artifacts of Flow Measurement Tools
Italo Cunha, Fernando Silveira, Ricardo Oliveira, Renata Teixeira and Christophe Diot
Passive and Active Measurement Conference, April, 2009.
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Empirical Evaluation of Network-Wide Anomaly Detection
Fernando Silveira, Christophe Diot, Nina Taft and Ramesh Govindan
Thomson Technical Report, September, 2008.
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Challenging the Supremacy of Traffic Matrices in Anomaly Detection
Augustin Soule, Fernando Silveira, Haakon Ringberg and Christophe Diot
ACM Internet Measurement Conference, October, 2007.
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Detectability of Traffic Anomalies in Two Adjacent Networks
Augustin Soule, Haakon Ringberg, Fernando Silveira, Jennifer Rexford and Christophe Diot
Passive And Active Measurement Conference, April, 2007.
Modeling the Short-Term Dynamics of Packet Losses (Extended Abstract)
Fernando Silveira and Edmundo de Souza e Silva
ACM Performance Evaluation Review, December, 2006.
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Adaptive Forward Error Correction for Interactive Streaming over the Internet
Fernando Silveira, Edson Watanabe and Edmundo de Souza e Silva
Proceedings of the IEEE GLOBECOM, November, 2006.
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A Method for Predicting Packet Losses with Applications to Continuous Media Streaming
Fernando Silveira and Edmundo de Souza e Silva
Proceedings of the Brazilian Symposium on Computer Networks, June, 2006.
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