Implementation of big data protection analytics in virtualized infrastructures

Authors

  • B. NILOUFER M.Tech Student, Dept Of Computer Science And Engineering, Jntua College Of Engineering, Pulivendula, Pulivendula-516390, Andhra Pradesh India
  • S. JESSICA SARITHA Assistant Professor, Dept Of Computer Science And Engineering, Jntua College Of Engineering, Pulivendula, Pulivendula-516390, Andhra Pradesh India

Keywords:

Virtualized infrastructure, virtualization security, cloud security, malware detection, rootkit detection, security analytics, event correlation, logistic regression, belief propagation

Abstract

Enormous Data and disbursed computing are two important issues inside the ongoing years, empowers figuring assets to be supplied  as Information Technology administrations with excessive proficiency and viability. Virtualized framework in distributed computing has been a beautiful awareness for cyber attackers to dispatch propelled attacks. This paper proposes novel sizeable information based totally security examination manner to cope with distinguishing propelled attacks in virtualized frameworks. System logs and moreover purchaser software logs collected now and again from the traveler virtual machines (VMs) are put away within the Hadoop Distributed File System (HDFS). At that factor, extraction of attack highlights is performed through diagram based occasion connection and MapReduce parser primarily based ID of capability assault approaches and we practice okay-implies grouping calculation for making the attacks into bunches. Next, assurance of attack nearness is finished through two-enhance machine adapting, mainly strategic relapse is connected to discern assault's restrictive chances as for the tendencies, and conviction unfold is attached to ascertain the faith in presence of an attack in view of them.

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Published

2018-09-12

How to Cite

NILOUFER, B., & SARITHA, . S. J. . (2018). Implementation of big data protection analytics in virtualized infrastructures. International Journal of Technical Innovation in Modern Engineering & Science, 4(9), 216–225. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/560