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Detecting DDoS attacks in software-defined networks through feature selection methods and machine learning models
H Polat, O Polat, A Cetin
Sustainability 12 (3), 1035, 2020
2012020
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks
H Polat, M Türkoğlu, O Polat, A Şengür
Expert Systems with Applications 197, 116748, 2022
442022
The effects of DoS attacks on ODL and POX SDN controllers
H Polat, O Polat
2017 8th International Conference on Information Technology (ICIT), 554-558, 2017
292017
Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection
M Türkoğlu, H Polat, C Koçak, O Polat
Expert Systems with Applications 203, 117500, 2022
282022
Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN‐based VANET
H Polat, M Turkoglu, O Polat
IET Communications 14 (22), 4089-4100, 2020
282020
ResMIBCU-Net: an encoder–decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray …
A Imak, A Çelebi, O Polat, M Türkoğlu, A Şengür
Oral Radiology 39 (4), 614-628, 2023
72023
An intelligent software defined networking controller component to detect and mitigate denial of service attacks
O Polat, H Polat
Journal of Information and Communication Technology 20 (1), 57-81, 2021
62021
Performance analysis of between software defined wireless network and mobile ad hoc network under dos attack
H Polat, O POLAT, E SÖĞÜT, OA ERDEM
2019 3rd International Symposium on Multidisciplinary Studies and Innovative …, 2019
42019
Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems
O Polat, M Türkoğlu, H Polat, S Oyucu, H Üzen, F Yardımcı, A Aksöz
Sensors 24 (3), 1040, 2024
12024
Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems
S Oyucu, O Polat, M Türkoğlu, H Polat, A Aksöz, MT Ağdaş
Sensors 24 (1), 155, 2023
12023
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