Abstract

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 com-
puting environment. This method is possible to ensure the availability of the target system for ac-
curate 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.