The use of machine learning to identify DDOS attacks is suggested in this research. Python has been used to simulate a DDOS attack. Wireshark has been used to record the data communication, and it was exported as a comma-separated values format. The various classifiers such as K-Nearest Neighbors, MLP, Random Forest, Gaussian Naive Bayes, Xgboost, SVM model from the Python sci-kit learn package were input for the pre-processed datasets. The model did well in terms of categorization accuracy, precision, recall, F1_score, and matthew correlation coefficient