Application of Machine Learning Techniques to Distributed Denial of Service (DDoS) Attack Detection: A Systematic Literature Review

This paper presents an approximation to state of art in application of some machine learning techniques to the field of Distributed Denial of Service (DDoS) attack detection. From a structured mapping study, relevant papers were selected, and later they were reviewed to detect the type of attacks they address, the techniques providing best performances and the techniques which present evidence to be conceived and used in distributed environments.