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http://dx.doi.org/10.9708/jksci.2020.25.04.105

CLIAM: Cloud Infrastructure Abnormal Monitoring using Machine Learning  

Choi, Sang-Yong (Dept. of Cyber Security, Yeungnam University College)
Publication Information
Journal of the Korea Society of Computer and Information / v.25, no.4, 2020 , pp. 105-112 More about this Journal
Abstract
In the fourth industrial revolution represented by hyper-connected and intelligence, cloud computing is drawing attention as a technology to realize big data and artificial intelligence technologies. The proliferation of cloud computing has also increased the number of threats. In this paper, we propose one way to effectively monitor to the resources assigned to clients by the IaaS service provider. The method we propose in this paper is to model the use of resources allocated to cloud systems using ARIMA algorithm, and it identifies abnormal situations through the use and trend analysis. Through experiments, we have verified that the client service provider can effectively monitor using the proposed method within the minimum amount of access to the client systems.
Keywords
Cloud computing; ARIMA algorithm; Machine learning; Resource; Monitoring;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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