Marius Portmann

Computer Networks and Communications · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marius Portmann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Nour Moustafa
  2. Iman Sharafaldin
  3. Benoit Claise
  4. Nickolaos Koroniotis
  5. Jill Slay

Papers from Marius Portmann's perspective

Ordered by how strongly the researchers Marius Portmann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)
  2. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
  3. Anomaly-based network intrusion detection: Techniques, systems and challenges (Computers & security)
  4. Geometric Deep Learning: Going beyond Euclidean data
  5. node2vec: Scalable Feature Learning for Networks
  6. Graph Neural Networks: A Review of Methods and Applications
  7. Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset (Future generations computer systems)
  8. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  9. GNNExplainer: Generating Explanations for Graph Neural Networks (Neural Information Processing Systems)
  10. TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems (IEEE Access)

Their papers