# Optimized MLP-CNN Model to Enhance Detecting DDoS Attacks in SDN Environment
## 4 Proposed Model
### OptMLP-CNN Detector
An efficient approach to detect distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization. _Trans. Emerg. Telecommun. Technol._**2023**, 34, e4827. [CrossRef]
* [PERSON] et al. (2023) [PERSON] [PERSON]; [PERSON]; [PERSON], [PERSON]; [PERSON]; [PERSON] Prevention of DDoS attacks using an optimized deep learning approach in blockchain technology. _Trans. Emerg. Telecommun. Technol._**2023**, 34, e4729. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A Federated Learning-Based Approach for Improving Intrusion Detection in Industrial Internet of Things Networks. _Network_**2023**, 3, 158-179. [CrossRef]* [PERSON] (2022) [PERSON]; [PERSON] Detection of Malicious Network Flows with Low Preprocessing Overhead. _Network_**2022**, \(2\), 628-642. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON], [PERSON]; [PERSON] Detection of Unknown DDoS Attack Using Convolutional Neural Networks Featuring Geometrical Metric. _Mathematics_**2023**, _11_, 2145. [CrossRef]
* [PERSON] and [PERSON] (2023) [PERSON]; [PERSON] [PERSON] Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System. _Inf. Fusion_**2023**, _90_, 353-363. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] Towards an Optimized Ensemble Feature Selection for DDoS Detection Using Both Supervised and Unsupervised Method. _Sensors_**2022**, _22_, 9144. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Recognition of DDoS Attacks on SD-VANET Based on Combination of Hyperparameter Optimization and Feature Selection. _Expert Syst. Appl._**2022**, _203_, 117500. [CrossRef]
* [PERSON] and [PERSON] (2022) [PERSON]; [PERSON] Performance evaluation of machine learning models for distributed denial of service attack detection using improved feature selection and hyper-parameter optimization techniques. _Concurr. Comput. Pract. Exp._**2022**, _34_, e7299. [CrossRef]
* [PERSON] and [PERSON] (2022) [PERSON]; [PERSON] On Improving the Performance of DDoS attack detection system. _Microprocess. Microsyst._**2022**, _93_, 104571. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Detecting flooding DDoS attacks in software defined networks using supervised learning techniques. _Eng. Sci. Technol. Int. J._**2022**, _35_, 101176. [CrossRef]
* [PERSON] and [PERSON] (2022) [PERSON]; [PERSON] An integrated approach explaining the detection of distributed denial of service attacks. _Comput. Netw._**2022**, _216_, 109269. [CrossRef]
* [PERSON] et al. (2022) [PERSON], [PERSON]; [PERSON]; [PERSON] An ensemble method for feature selection and an integrated approach for mitigation of distributed denial of service attacks. _Concurr. Comput. Pract. Exp._**2022**, _34_, e6919. [CrossRef]
* [PERSON] (2022) [PERSON]; [PERSON] [PERSON] A feature reduction based reflected and exploited DDoS attacks detection system. _J. Ambient. Intell. Humaniz. Comput._**2022**, _1-13_, 393-405. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs. _IEEE Trans. Cogn. Commun. Netw._**2022**, \(8\), 1862-1880. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] [PERSON] A new DDoS attacks intrusion detection model based on deep learning for cybersecurity. _Comput. Secur._**2022**, _118_, 102748. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] A feature selection-based method for DDoS attack flow classification. _Future Gener. Comput. Syst._**2022**, _132_, 67-79. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] Towards an Optimal Feature Selection Method for AI-Based DDoS Detection System.