Won-il Bae, Suk-June Choi, Seong-Jin Kim, Hyeong-Cheon Kim, Jin Kwak, Journal of Internet Computing and Services, Vol. 18, No. 1, pp. 11-20, Feb. 2017
10.7472/jksii.2017.18.1.11, Full Text:  HTML
Keywords: Cloud computing, K-Means Clustering, Zeus botnet, Openstack

Abstract

Recently, developments in the various fields of cloud computing technology has been utilized. Whereas the demand for cloud computing services is increasing, security threats are also increasing in the cloud computing environments. Especially, in case when the hosts interconnected in the cloud environments are infected and propagated through the attacks by malware. It can have an effect on the resource of other hosts and other security threats such as personal information can be spreaded and data deletion. Therefore, the study of malware analysis to respond these security threats has been proceeded actively. This paper proposes a type of attack clustering method of Zeus botnet using the k-means clustering algorithm for malware analysis that occurs in the cloud environments. By clustering the malicious activity by a type of the Zeus botnet occurred in the cloud environments. it is possible to determine whether it is a malware or not. In the future, it sets a goal of responding to an attack of the new type of Zeus botnet that may occur in the cloud environments.

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