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

Junho Choi, Chang Choi, Byeongkyu Ko, Dongjin Choi, and Pankoo Kim^*

Chosun University
Gwangju, Republic of Korea

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 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.

Keywords: DDoS Attack, HTTP GET Flooding Attack, Web Security, MapReduce

+: Corresponding author: Pankoo Kim
Chosun University, No. 8111, Computer Engineering, 309, Pilmun-daero, Dong-gu, Gwangju, 501-759,
Republic of Korea, Tel: +82-(0)62-230-7799

Journal of Internet Services and Information Security (JISIS), 3(3/4): 28-37, November  2013 [pdf]