Effective Detection and Prevention of DDoS in Cloud Computing Environment

Due to expansion of Internet and huge dataset, many organizations started to use cloud. But in the cloud it has to face many security issues like distributed denial of service attack (DDoS). This attack makes a network or system unavailable to legitimate users. DDoS attack over cloud does not any changes in data but bring out a correspondent attacks in cloud resource, cloud service, framework to absorb it. This paper discusses various defence mechanisms to prevent these attacks. This work gives exhaustive study on advanced confidence based filtering called N-CBF method to detect and prevent DDoS in cloud. It collects the packets, extract their attributes and then make pairs of attributes. It adjusts weight dynamically for each attribute pair and threshold value for each attribute. It increases the detection rate and also provides more security in cloud. This paper gives simulation for N-CBF method and provides more security by adding RSA algorithm.