DDoS Attack Protection System in SDN Environment

Distributed Denial of Service (DDoS) attack pose significant threats to the availability and integrity of online services and networks.This paper presents an approach for the detection of DoS and DDoS attacks using a combination of mathematical and entropy-based methods.The proposed approach leverages the inherent characteristics of these attacks to develop robust detection mechanisms that enhance network security.Machine learning algorithms, particularly those based on supervised and unsupervised learning, are becoming increasingly prevalent in the detection of DoS and DDoS attacks.This paper provides insights into the application of machine learning for attack classification and the development of predictive models to anticipate new attack vectors..