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BIBLIOGRAFIA________________________________________
[1] S .Shakkottai, M .Fomenkov, R .Koga, D .Krioukov, and K .Claffy, “Evolution of the Internet AS-Level Ecosystem”, in International Conference on Complex Sciences, Complex, 2009.
[2] Internet Engineering Task Force, “RFC 1930 - Guidelines for creation, selection, and registration of an Autonomous System (AS)”, 1996.
[3] Cooperative Association for Internet Data Analysis, http://www.caida.org/
[4] G. Combs, “Wireshark, a Network Protocol Analyzer”, http://www.wireshark. org. [5] Internet Engineering Task Force, “RFC 5101 - Specification of the IP Flow
Information Export (IPFIX) Protocol for the Exchange of IP Traffic Flow Information”, 2008.
[5] Internet Engineering Task Force, “RFC 5102 - Information Model for IP Flow Information Export”, 2008.
[6] Pedro Casas Hernández ,Statistical Analysis of Network Traffic for Anomaly Detection and Quality of Service Provisioning
[7] G.Mangano, Introduzione alle reti Neurali.
[8] Y. Vardi, “Network Tomography: Estimating Source-Destination Traffic Intensities from Link Data”, in J. Amer. Statist. Assoc, 91, pp. 365-377, 1996.
[9] J. Cao et al, “Time-Varying Network Tomography”, in J. Amer. Statist. Assoc, 95, pp. 1063-1075, 2000. BIBLIOGRAPHY 183
[10] C. Tebaldi et al, “Bayesian Inference on Network Traffic Using Link Count Data”, in J. Amer. Statist. Assoc, 93, pp. 557-576, 1998.
[11] S. Vaton and A. Gravey, “Network Tomography : an Iterative Bayesian Analysis”, in Proc. ITC 18, 2003.
[12] J. Kowalski and B. Warfield, “Modeling Traffic Demand Between Nodes in a Telecommunications Network”, in ATNAC, 1995.
[13] M. Roughan, A. Greenberg, C. Kalmanek, M. Rumsewicz, J. Yates, and Y. Zhang, “Experience in Measuring Backbone Traffic Variability: Models, Metrics, Measurements and Meaning”, in ACM SIGCOMM Internet Measurement Workshop, 2002.
47
[14] Y. Zhang, M. Roughan, N. Duffield and A. Greenberg, “Fast Accurate Computation of Large-Scale IP Traffic Matrices from Link Load Measurements”, in Proc. ACM SIGMETRICS, 2003.
[15] K. Papagiannaki, N. Taft, and A. Lakhina, “A Distributed Approach to Measure Traffic Matrices”, in Proc. ACM IMC, 2004
[16] A. Lakhina, K. Papagiannaki, M. Crovella, C. Diot, E. Kolaczyk, and N. Taft, “Structural Analysis of Network Traffic Flows”, in Proc. ACM SIGMETICS, 2004. [17] A. Soule, K. Salamatian, A. Nucci, and N. Taft,“Traffic Matrix Tracking using
Kalman Filters”, in LSNI, 2005.
[18] A. Soule, K. Salamatian and N. Taft, “Combining Filtering and Statistical Methods for Anomaly Detection”, in Proc. USENIX/ACM IMC, 2005.
[19] A. Soule, A. Lakhina, N. Taft, K. Papagiannaki, K. Salamatian, A. Nucci, M. Crovella, and C. Diot,“Traffic Matrices: Balancing Measurements, Inference, and Modeling”, in Proc. ACM SIGMETRICS, 2005.
[20] E. Gelenbe, “Random neural networks with negative and positive signals and product form solution”, in Neural Computation, vol. 1, pp. 502-511, 1989.
[21] R. Duda, P. Hart, and D. Stork, “Pattern Classification (2nd Edition)”, WileyInterscience, 2000.
[22] A. Lakhina, K. Papgiannaki, C. Crovella, M. Diot, E. Kolaczyk,and N. Taft, "Structural analysis of network traffic flows",in Proceedings of the ACM Sigmetrics Conference, 2004.
[23] Hossam Eldin Abdelbaki,”Random Neural Network simulator v.2”,Technical Report School of Computer Science of Central Florida,1999.
[24] M. Roughan, A. Greenberg, C. Kalmanek, M. Rumsewicz, J. Yates, and Y. Zhang, “Experience in Measuring Backbone Traffic Variability: Models, Metrics, Measurements and Meaning”, in ACM SIGCOMM Internet Measurement Workshop, 2002.
[25] Y. Zhang, M. Roughan, N. Duffield and A. Greenberg, “Fast Accurate Computation of Large-Scale IP Traffic Matrices from Link Load Measurements”, in Proc. ACM SIGMETRICS, 2003.
[26] A. Soule, K. Salamatian, A. Nucci, and N. Taft,“Traffic Matrix Tracking using Kalman Filters”, in LSNI, 2005.
48
[27] A. Soule, K. Salamatian and N. Taft, “Combining Filtering and Statistical Methods for Anomaly Detection”, in Proc. USENIX/ACM IMC, 2005.
[28] L. Grippo, M. Sciandrone “Metodi di ottimizzazione per le reti neurali”. [29] Elisa Turricchia,”Artificial Neural Network”,pdf.
[30] P.Casas, S.Vaton, “On the Use of Random Neural Networks for Traffic Matrix Estimation in Large-Scale IP Networks”