mw. W. (Wendy) Ellens MSc
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Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Korteweg-de Vries Instituut
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POSTBUS
94248
1090 GE Amsterdam
Kamernummer: F3.41
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W.Ellens@uva.nl
2014
- W. Ellens, M. Mandjes, D. Worm & H. van den Berg (2014). The effectiveness of throughput sampling for capacity management: a queueing approach. In A. Jamalipour & D.-J. Deng (Eds.), 2014 IEEE International Conference on Communications (ICC) (pp. 1197-1203). Piscataway, NJ: IEEE.
- J. Kuhn, W. Ellens & M. Mandjes (2014). Detecting Changes in the Scale of Dependent Gaussian Processes: A Large Deviations Approach. In B. Sericola, M. Telek & G. Horváth (Eds.), Analytical and stochastic modelling techniques and applications: 21st International Conference, ASMTA 2014, Budapest, Hungary, June 30-July 2, 2014: proceedings Vol. 8499. Lecture Notes in Computer Science (pp. 170-184). Cham: Springer.
2013
- W. Ellens, P. Żuraniewski, A. Sperotto, H. Schotanus, M. Mandjes & E. Meeuwissen (2013). Flow-Based Detection of DNS Tunnels. In G. Doyen, M. Waldburger, P. Čeleda, A. Sperotto & B. Stiller (Eds.), Emerging Management Mechanisms for the Future Internet: 7th IFIP WG 6.6 international conference on autonomous infrastructure management, and security, AIMS 2013, Barcelona, Spain, June 25-28, 2013, proceedings Vol. 7943. Lecture Notes in Computer Science (pp. 124-135). Berlin: Springer.
- C. Callegari, A. Coluccia, A. D'Alconzo, W. Ellens, S. Giordano, M. Mandjes, P. Pagano, T. Pepe, F. Ricciato & P. Żuraniewski (2013). A Methodological Overview on Anomaly Detection. In E. Biersack, C. Callegari & M. Matijasevic (Eds.), Data traffic monitoring and analysis: from measurement, classification, and anomaly detection to quality of experience (Lecture Notes in Computer Science, 7754) (pp. 148-183). Berlin: Springer.
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