A study for DDOS attack classification method
Ahmad Sanmorino · Journal of Physics Conference Series · 2019
In this study, we discussed three DDoS attack classification methods based on machine learning. The comparison is done to measure the accuracy rate of each machine learning classification method in detecting DDoS attacks. The method of classification that is compared is the decision tree method, naive Bayes and artificial neural network. Based on the comparison of the performance of the classification method, the decision tree method reaches 83.9%, naive Bayes is 76.5% and artificial neural network reaches 84.3%. Based on this comparison, it can be concluded that the DDoS attack classification method using an artificial neural network has the highest accuracy compared to the other two methods.