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Big-DAMA@SIGCOMM 2018: Budapest, Hungary
- Pedro Casas, Marco Mellia, Alberto Dainotti, Tanja Zseby:
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Big-DAMA@SIGCOMM 2018, Budapest, Hungary, August 20, 2018. ACM 2018, ISBN 978-1-4503-5904-7
Machine Learning based Network Security and Anomaly Detection
- Pavol Mulinka
, Pedro Casas:
Stream-based Machine Learning for Network Security and Anomaly Detection. 1-7 - Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki:
Finding Anomalies in Network System Logs with Latent Variables. 8-14 - Andrian Putina, Dario Rossi, Albert Bifet
Telemetry-based stream-learning of BGP anomalies. 15-20 - Liron Schiff, Ofri Ziv, Manfred Jaeger
NetSlicer: Automated and Traffic-Pattern Based Application Clustering in Datacenters. 21-26 - Jianxin Zhao, Tudor Tiplea, Richard Mortier, Jon Crowcroft, Liang Wang:
Data Analytics Service Composition and Deployment on Edge Devices. 27-32
Deep Learning and Neural Networks for Network Analysis
- Mingda Li, Cristian Lumezanu, Bo Zong, Haifeng Chen:
Deep Learning IP Network Representations. 33-39 - Fabien Geyer, Georg Carle:
Learning and Generating Distributed Routing Protocols Using Graph-Based Deep Learning. 40-45 - Albert Mestres, Eduard Alarcón, Yusheng Ji, Albert Cabellos-Aparicio:
Understanding the Modeling of Computer Network Delays using Neural Networks. 46-52
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