Detection of DDoS Attacks using ML Models and Genetic Programming
Comparing the results of six established classification techniques: Random Forest, Naive Bayes, Stochastic Gradient Descent, Decision Trees, Logistic Regression, and K-Nearest Neighbour (KNN) with the proposed Genetic Programming model achieveing an accuracy of 98.67%.