Date: April 25th - 2022
Note: Please keep in mind that the new venue of NOMS is ENSANA HEALTH SPA RESORT MARGITSZIGET. More information is available here
All times are CEST time.
Conference Room: Jázmin
Session 1: Machine Learning for Network Analytics
Time: 9:00h to 10:30
Chair: Prof. Sergio Armando Gutiérrez
RLBrowse: Generating Realistic Packet Traces with Reinforcement Learning (Alexander Griessel, Maximilian Stephan, Martin Mieth, Wolfgang Kellerer, Patrick Krämer). Presents On-Site Alexander Griessel.
Detecting and locating configuration errors in IP VPNs with Graph Neural Networks (El-Heithem Mohammedi, Emmanuel Lavinal, Guillaume Fleury). Presents On-Site El-Hiethem Mohammedi).
Network-based Intrusion Detection: A One-class Classification Approach (Paulina Arregocés, Jaime Vergara, Juan Felipe Botero, Sergio Gutiérrez). Presents On-Site Juan Felipe Botero
Session 2: Mathematics for Network Analytics
Time: 11:00h to 12:30h
Chair: Prof. Juan Felipe Botero (Universidad de Antioquia)
Non-negative Matrix Factorization for Network Delay Matrix Completion (Sanaa Ghandi, Alexandre Reiffers-Masson, Sandrine Vaton, Thierry Chonavel). Presents On-Site Sanaa Ghandi
Optimal Resource Provisioning for Data-intensive Microservices (László Toka, Rolan Erdei). Presents On-Site László Toka
Solving Combinatorial Problems via the Random Exploration of the Search Space: An Experimental Approach for Fast Decision Making (Cristiano Silva, Fermanda Sumika Souza, Daniel Guidoni, Leonardo Santos, João Fermando M. Sarubbi, Somayeh Mokhtari, Matheus Fernando Rodrigues Santos, Jose-Marcos Nogueira). Presents Remotely Jose-Marcos Nogueira
Session 3: Network Management 1
Time: 13:30h to 15:00h
Chair. Prof. Adrián Lara (Universidad de Costa Rica)
VITALflow: Visual Interactive Traffic Analysis with NetFlow (Tina Tremel, Jochen Kögel, Florian Jauernig, Sebastian Meier, Dennis Thom, Franziska Becker, Christoph Müller and Steffen Koch). Presents Remotely Jochen Kögel
Comparative Causal analysis of Network Log Data in Two Large ISP (Satoru Kobayashi, Keiichi Shima, Kenjiro Cho, Osamu Akashi, Kensuke Fukuda). Presents Remotely Satoru Kobayashi
Structural Network Metrics and Incident Generation (Robert Harper, Philip Tee). Presents Remotely Robert Harper
Session 4: Network Management 2
Time: 15:30h to 17:00h
Chair. Prof. Adrián Lara (Universidad de Costa Rica)
Detecting Malicious Domains using the Splunk Machine Learning Toolkit (Michelle Cersosimo, Adrián Lara). Presents Remotely Michelle Cersosimo
Characterizing DNS query response sizes through active and passive measurements (Kensuke Fukuda, Shinta Sato, Takeshi Mitamura, Yoshitaka Aharen). Presents Remtotely Kensuke Fukuda.
Dataset Quality Assessment in Autonomous Networks with Permutation Testing (Jose Camacho, Katarzyna Wasieleweska). Presents On-Site Katarzyna Wasieleweska