Identifying Security Challenges in Renewable Energy Systems: A Wind Turbine Case Study

Jindal, A., Marnerides, A., Scott, A. & Hutchison, D., 28/06/2019, e-Energy '19 Proceedings of the Tenth ACM International Conference on Future Energy Systems. New York: ACM, p. 370-372 3 p.

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Improved Network Traffic Classification Using Ensemble Learning

Possebon, I., da Silva, A., Granville, L., Schaeffer-Filho, A. & Marnerides, A., 27/01/2020, IEEE Symposium on Computers and Communications (ISCC) 2019. IEEE, p. 1-6 6 p.

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Improving the discovery of IXP peering links through passive BGP measurements

Giotsas, V. & Zhou, S., 2013, 2013 Proceedings IEEE INFOCOM . IEEE, p. 3249-3254 6 p.

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Inferring BGP blackholing activity in the Internet

Giotsas, V., Smaragdakis, G., Dietzel, C., Richter, P., Feldmann, A. & Berger, A., 1/11/2017, IMC 2017 - Proceedings of the 2017 Internet Measurement Conference. New York: Association for Computing Machinery, Inc, p. 1-14 14 p.

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Inferring complex AS relationships

Giotsas, V., Luckie, M., Huffaker, B. & Claffy, K., 5/11/2014, IMC '14 Proceedings of the 2014 Conference on Internet Measurement Conference. New York: ACM, p. 23-29 7 p.

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Inferring multilateral peering

Giotsas, V., Zhou, S., Luckie, M. & Claffy, K., 2013, CoNEXT '13 Proceedings of the ninth ACM conference on Emerging networking experiments and technologies. New York: ACM, p. 247-258 12 p.

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Internet traffic classification using energy time-frequency distributions

Marnerides, A., Pezaros, D., Kim, H. & Hutchison, D., 9/06/2013, 2013 IEEE International Conference on Communications (ICC). IEEE, p. 2513-2518 6 p.

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IPv6 AS relationships, cliques, and congruence

Giotsas, V., Luckie, M., Huffaker, B. & Claffy, K., 2015, Passive and Active Measurement: 16th International Conference, PAM 2015, New York, NY, USA, March 19-20, 2015, Proceedings. Mirkovic, J. & Liu, Y. (eds.). Berlin: Springer, p. 111-122 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8995).

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LoRa for the Internet of Things

Bor, M., Vidler, J. E. & Roedig, U., 15/02/2016, EWSN '16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks. Canada: Junction Publishing, p. 361-366 6 p.

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LoRa Transmission Parameter Selection

Bor, M. & Roedig, U., 5/06/2017, 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, p. 27-34 8 p.

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Malware analysis in cloud computing: network and system characteristics

Marnerides, A., Watson, M., Shirazi, S. N. U. H., Mauthe, A. & Hutchison, D., 12/2013, Globecom Workshops (GC Wkshps), 2013 IEEE. Piscataway, N.J.: IEEE, p. 482-487 6 p.

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Malware detection in the cloud under ensemble empirical mode decomposition

Marnerides, A., Spachos, P., Chatzimisios, P. & Mauthe, A. U., 02/2015, Proceedings of 6th International Conference on Computing, Networking and Communications, IEEE ICNC 2015. IEEE, p. 82-88 7 p.

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Mapping peering interconnections to a facility

Giotsas, V., Smaragdakis, G., Huffaker, B., Luckie, M. & Claffy, K. C., 1/12/2015, CoNEXT '15 Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies. New York: Association for Computing Machinery, Inc, 13 p. 37

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Mitigating Inter-Network Interference in LoRa Networks

Voigt, T., Bor, M., Roedig, U. & Alonso, J., 20/02/2017, EWSN ’17 Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks. New York: ACM Press, p. 323-328 6 p.

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Modeling Server Workloads for Campus Email Traffic Using Recurrent Neural Networks

Boukoros, S., Nugaliyadde, A., Marnerides, A., Vassilakis, C., Koutsakis, P. & Wai Wong, K., 14/11/2017, Neural Information Processing. ICONIP 2017. Liu, D., Xie, S., Li, Y., Zhou, D. & El-Alfy, E. S. (eds.). Cham: Springer, p. 57-66 10 p. (Lecture Notes in Computer Science; vol. 10638).

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