• Daria Soroko, Gian-Luca Savino, Nicholas Gray, Johannes Schöning
  Social Transparency in Network Monitoring and Security Systems
  International Conference on Mobile and Ubiquitous Multimedia (MUM), 2023
• Stephan Schwinger, Alexandra Meyer, Jeremy Perez, Arnold Krille
  Supporting an ISMS through Passive Network Inventory
  International Journal of Chaotic Computing (IJCC), 2023
• Katharina Dietz, Nicholas Gray, Manuel Wolz, Claas Lorenz, Tobias Hoßfeld, Michael Seufert
  Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls
  Network Operations and Management Symposium (NOMS), 2023
• Daria Soroko, Gian-Luca Savino, Nicholas Gray
  How Can AI Earn Trust of System Administrators in the IT-Security Domain?
  https://www.alexandria.unisg.ch/server/api/core/bitstreams/f4a86e87-7939-438a-a4d0-172efc298793/content, 2022
• Katharina Dietz, Michael Seufert, Tobias Hoßfeld
  Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies
  International Conference on Network and Service Management (CNSM), 2022
• Tina Tremel, Jochen Kögel, Florian Jauernig, Sebastian Meier, Dennis Thom, Franziska Becker, Christoph Müller, Steffen Koch
  VITALflow: Visual Interactive Traffic Analysis with NetFlow
  International Workshop on Analytics for Network and Service Management (AnNet), co-located with Network Operations and Management Symposium (NOMS), 2022
• Katharina Dietz, Nicholas Gray, Michael Seufert, Tobias Hoßfeld
  ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks
  Network Operations and Management Symposium (NOMS), 2022
• Nicholas Gray, Katharina Dietz, Michael Seufert, Tobias Hoßfeld
  High Performance Network Metadata Extraction Using P4 for ML-Based Intrusion Detection Systems
  International Conference on High Performance Switching and Routing (HPSR), 2021
• Katharina Dietz, Michael Mühlhauser, Michael Seufert, Nicholas Gray, Tobias Hoßfeld, Dominik Herrmann
  Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?
  International Workshop on Machine Learning in Networking (MaLeNe), 2021