… the selected set of machine learning algorithms in detecting DDoS attacks. The performance
… evaluation of machine learning algorithms for effectively detecting the DDoS attacks. CAIDA …

… Moreover, it is shown the most important features to classify DDoS attacks and some … of
DDoS attacks discussed in this paper (controller attack, flow-table attack, and bandwidth attack). …

… attacks for IT system in terms of time and money. In this paper, the use of machine learning
algorithms for DDoS … and new emerging deep learning algorithm, namely Deep Feed Forward …

… In this study, DDoS attacks in SDN were detected using machine learning-based models. …
for the dataset in normal conditions and under DDoS attack traffic. Then, a new dataset was …

… Also, the machine learning models classified the DDoS attacks, where the accuracy rates of
… tree models showed slightly better performance than linear support vector machines. The …

… tropy-gini), Random Forest and SVM algorithms. Properties that determined the DDOS attack
at the highest rate and in the shortest time and the result of the train were shown in Table 2. …

… boosting machine (LGBM) algorithm for training of the model … model, we test it by passing
records of unseen DDoS attack … of the model. By comparing the performance of developed …

… algorithms on generalized DDoS attacks. This study used six machine learning classification
algorithms to detect eleven different DDoS attacks on different DDoS attack datasets. We …

… However, up to our knowledge different deep learning models are used for DDoS attacks.
Similarly, they used the same KDD dataset from the UCI repository in research. In finally all …

… In this research, the current studies in the use of deep learning (DL) in DDoS … Machine
Learning (ML) algorithms in WEKA tools to analyze the detection performance for DDoS attacks …