An efficient method to detect DDoS attack in cloud computing

Electronic networks and cloud servers face many security
problems since they are vulnerable to DDOS attacks. As cloud
servers are exposed to attacks similar to legitimate requests on
servers, it turns out that they are healthy, but they carry an attack
on the data on the servers. DDOS attacks not only affect networks,
but also the data carried by servers. In this paper, we proposed a
new scheme to discover DDOS attacks. By using a Principal
Component Analysis (PCA) scheme for network state analysis on
traffic packet data, we divide and segment the network for
reducing the overall computation. Comparing the results to the
sample entropy, we were able to detect DDOS attacks more
accurately.