부산대학교 도서관

DDOS attacks are currently among of the most frequent online crimes. Its prevalence does not, however, make it any simpler to deal with. The resources of the impacted server, such as broadband and buffering size, are lowered down as a result of being unable to give resources to legitimate clients. In this research study, evaluation of many models would be carried out and the one which has the most accuracy would be determined. To identify assaults and typical situations, numerous datasets will be used to train and test the machine learning algorithms. This study will use weak data mining platforms, and the outcomes of those platforms will be compared and studied.