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Cited 7 time in webofscience Cited 11 time in scopus
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A Novel Approach to Analyzing for Detecting Malicious Network Activity Using a Cloud Computing Testbed

Authors
Lee, JunwonCho, JaeikSeo, JungtaekShon, TaeshikWon, Dongho
Issue Date
Feb-2013
Publisher
SPRINGER
Keywords
mobile cloud; cloud test bed; cloud network anomaly
Citation
MOBILE NETWORKS & APPLICATIONS, v.18, no.1, pp.122 - 128
Journal Title
MOBILE NETWORKS & APPLICATIONS
Volume
18
Number
1
Start Page
122
End Page
128
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82140
DOI
10.1007/s11036-012-0375-1
ISSN
1383-469X
Abstract
Recent developments have caused the expansion of various cloud computing environments and services. Cloud computing environments have led to research in the areas of data processing, virtual environments, and access control. Information security is the most important research area for these environments security. In this study, we analyzed typical example of network testbeds, which have been used for malicious activity data collection and its subsequent analysis. Further, we propose an effective malicious network application testbed, which is based on a cloud system. We also verified the performance of our new testbed by comparing real malicious activity with the cloud-based testbed results.
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