Mohanad Sarhan
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
- Computer Networks and Communications — 23 citations into it
- Artificial Intelligence — 21 citations into it
- Signal Processing — 7 citations into it
Whom Mohanad Sarhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nour Moustafa
- Iman Sharafaldin
- Nickolaos Koroniotis
- Jill Slay
- Benoit Claise
- Arash Habibi Lashkari
- Markus Ring
- Ali Akbar Ghorbani
- Siamak Layeghy
- Elena Sitnikova
Who trusts Mohanad Sarhan overall
Papers from Mohanad Sarhan's perspective
Ordered by how strongly the researchers Mohanad Sarhan trusts endorse each paper. Same corpus, a different order for every researcher.
- UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)
- A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
- Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
- Anomaly-based network intrusion detection: Techniques, systems and challenges (Computers & security)
- Geometric Deep Learning: Going beyond Euclidean data
- node2vec: Scalable Feature Learning for Networks
- Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset (Future generations computer systems)
- Graph Neural Networks: A Review of Methods and Applications
- TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems (IEEE Access)
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Their papers
- E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT (2021) — 402 citations
- Towards a Standard Feature Set for Network Intrusion Detection System Datasets (2021) — 369 citations
- NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems (2020) — 325 citations