A 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.