DDoS Botnet Detection Technique Based on the Use of the Semi-Supervised Fuzzy c-Means Clustering
Sergii Lysenko, Олег Савенко, Kira Bobrovnikova · 2017
A new technique for the DDoS botnet detection based on the botnets network features analysis is proposed. It uses the semi-supervised fuzzy c-means clustering. The proposed approach includes the learning and the detection stages. Analysis is based on the extracted from the network traffic features that may in- dicate the presence of the DDoS botnets’ presence in the network. Experimental results demonstrated that the proposed technique ensures the DDoS botnet detec- tion at the rate at about 95%.