Detecting Web based DDoS Attack using MapReduce operations in Cloud Computing Environment

A distributed denial of service attacks are the most serious factor among network security risks in cloud computing environment. This study proposes a method of integration between HTTP GET flooding among DDOS attacks and MapReduce processing for a fast attack detection in cloud computing environment. This method is possible to ensure the availability of the target system for accurate and reliable detection based on HTTP GET flooding. In experiments, the processing time for performance evaluation compares a patten detection of attack features with the Snort detection. The proposed method is better than Snort detection method in experiment results because processing time of proposed method is shorter with increasing congestion.

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