Detection of known and unknown DDoS attacks using Artificial Neural Networks
By A. Saied, R. Overill, T. Radzik. Neurocomputing, 2016
307 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/c00a69d8631b0bf53978f638faf259a339562386
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jawwad Ahmed Shamsi
- Paul Patras
- Hamed Haddadi
- Petros Spachos
- Khaled Hamed Salah
- Chaoyun Zhang
- Hadis Karimipour
- Narmeen Zakaria Bawany
In Computer Networks and Communications
- Jawwad Ahmed Shamsi
- Paul Patras
- Hamed Haddadi
- Petros Spachos
- Khaled Hamed Salah
- Chaoyun Zhang
- Hadis Karimipour
- Narmeen Zakaria Bawany
Citations in the corpus
- Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, methodology): “Saied et al. [150] proposed a model for DDoS attack detection using an ANN algorithm.”
- Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “[325] Distributed denial of service attack detection Known and unknown distributed denial of service attack Supervised MLP”
- DDoS Attack Detection and Mitigation Using SDN: Methods, Practices, and Solutions (2017, background): “However, these attacks continue to grow in frequency, sophistication, and severity [8,9].”