Mitigating DDoS Attack using Machine Learning Approach in SDN
Ritu Raj, Sandeep Singh Kang · 2022
In the past few years, the phishing attacks have been increased exponentially which have not left any sector of the society unharmed. The most popular attack among phishing is DDoS attack in which a server is made unavailable by sending a lot of requests to the server at the same time by attacker. The reason behind these types of attacks can be anything such as demand for ransom money, revenge, competition or something else. In this research paper, we’ve discussed about DDoS attack and its detection techniques. A machine learning model is proposed for the detection of DDOS attack in the software defined network. The proposed model compares the accuracy, precision, recall and F1-score of various machine learning algorithms such as Logistic regression, SVM, XGBoost, Decision tree, KNN etc. The accuracy of various algorithms is predicted and on the basis of this accuracy, a detailed comparative analysis report is prepared.