Nickolaos Koroniotis
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #18,994 of 35,345 by trust here, #17,412 by citations
- Computer Networks and Communications — 13 citations into it; #4,698 of 9,886 by trust here, #3,638 by citations
- Signal Processing — 9 citations into it; #3,920 of 7,572 by trust here, #2,911 by citations
Whom Nickolaos Koroniotis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nour Moustafa
- Ingo Steinwart
- Thuy T. T. Nguyen
- Iman Sharafaldin
- Mahbod Tavallaee
- Pedro Garcia-Teodoro
- Andreas Christmann
- Jill Slay
- Grenville J. Armitage
- Ali Akbar Ghorbani
Who trusts Nickolaos Koroniotis overall
- Ansam Khraisat
- Mohanad Sarhan
- Nour Moustafa
- Siamak Layeghy
- Osama Alkadi
- Wai Weng Lo
- Zhibo Zhang
- Tanzila Saba
- Iqbal H. Sarker
- Javed Asharf
Papers from Nickolaos Koroniotis's perspective
Ordered by how strongly the researchers Nickolaos Koroniotis trusts endorse each paper. Same corpus, a different order for every researcher.
- A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
- Support vector machines
- A survey of techniques for internet traffic classification using machine learning
- LSTM: A Search Space Odyssey
- UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)
- Internet of Things (IoT): A vision, architectural elements, and future directions
- Learning and Classification of Malware Behavior
- Recurrent neural networks
- A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks (IEEE Communications Surveys and Tutorials)
- Machine Learning DDoS Detection for Consumer Internet of Things Devices (2018 IEEE Security and Privacy Workshops (SPW))