… 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 and secure online services from these attacks. In this paper, we have used machine
learning … various modern types of attacks such as HTTP flood, SID DoS and normal traffic. A …

… The advantage of the machine learning detection model is … machine learning algorithms, it
requires longer prediction time. The machine learning algorithms used to detect DDoS attacks …

… 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 …

… The main objective of this work is to evaluate the performance of Machine learning
algorithms in detecting DDoS attack and rank them according to the preferences given by the …

… the use of machine learning algorithms and fuzzy logic for detection of DDoS attacks. It
shows the reduced number of works devoted to the detection of advanced DDoS attacks, due to …

… Prevention against DDoS attacks has been a major focus of the research … machine learning
algorithms used to detect DDoS attack in SDN. We used machine learning algorithms and …

… Decision tree algorithm is used to detect the DOS attacks. In his article, HodaWaguih[2] … for
detecting DOS attacks, using classification methods. In the case of DoS attacks the approach …

… 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 …