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Paper Title
Big Data based Security Analytics to Protect the Virtualized Infrastructure
Authors
  Dr.K.Butchi Raju,  Dayakar Suddala

Abstract
Virtualized infrastructure in cloud computing has turned into an appealing focus for cyber aggressors to dispatch propelled attacks. This paper proposes a novel enormous information based security examination way to deal with recognizing propelled attacks in virtualized infrastructures. System logs and in addition client application logs gathered intermittently from the visitor virtual machines (VMs) are put away in the Hadoop Distributed File System (HDFS). At that point, extraction of assault highlights is performed through diagram based occasion relationship and Map Reduce parser based ID of potential assault ways. Next, assurance of assault nearness is performed through two-advance machine learning, namely: strategic relapse is connected to ascertain assault's restrictive probabilities as for the qualities, and conviction spread is connected to figure the faith in presence of an assault in light of them.

Keywords- Virtualized infrastructure, virtualization security, malware detection and security analytics
Publication Details
Unique Identification Number - IJEDR1804050
Page Number(s) - 265-271
Pubished in - Volume 6 | Issue 4 | November 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Dr.K.Butchi Raju,  Dayakar Suddala,   "Big Data based Security Analytics to Protect the Virtualized Infrastructure", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.265-271, November 2018, Available at :http://www.ijedr.org/papers/IJEDR1804050.pdf
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