Siamak Layeghy

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 Siamak Layeghy trusts overall

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

  1. Nour Moustafa
  2. Benoit Claise
  3. Iman Sharafaldin
  4. Nickolaos Koroniotis
  5. Jill Slay
  6. Arash Habibi Lashkari
  7. Leland McInnes
  8. Mohanad Sarhan
  9. Markus Ring
  10. Ali Akbar Ghorbani

Who trusts Siamak Layeghy overall

  1. Mohanad Sarhan

Papers from Siamak Layeghy's perspective

Ordered by how strongly the researchers Siamak Layeghy 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. Geometric Deep Learning: Going beyond Euclidean data
  3. node2vec: Scalable Feature Learning for Networks
  4. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
  5. Anomaly-based network intrusion detection: Techniques, systems and challenges (Computers & security)
  6. Graph Neural Networks: A Review of Methods and Applications
  7. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  8. Long Short-Term Memory
  9. GNNExplainer: Generating Explanations for Graph Neural Networks (Neural Information Processing Systems)
  10. Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset (Future generations computer systems)

Their papers