期刊名称：International Journal of Network Security & Its Applications
印刷版ISSN：0975-2307
电子版ISSN：0974-9330
出版年度：2021
卷号：13
期号：4
页码：1-11
语种：English
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：DDoS has a variety of types of mixed attacks. Botnet attackers can chain different types of DDoS attacks to confuse cybersecurity defenders. In this article, the attack type can be represented as the state of the model. Considering the attack type, we use this model to calculate the final attack probability. The final attack probability is then converted into one prediction vector, and the incoming attacks can be detected early before IDS issues an alert. The experiment results have shown that the prediction model that can make multi-vector DDoS detection and analysis easier.
关键词：DDoS;attack detection;Markov chain;TCP SYN flood;ICMP flood;HTTP flood;LAND;UDP flood
