Study and Analysis of Big Data Security Analytics for Protecting Cloud Based Virtualized Infrastructures


In cloud computing virtualized infrastructures has become a stimulating target for cyber attackers to initiate advance attacks. The motive of this work may be a narrative huge knowledge primarily based security analytics approach to get advanced attacks in virtualized infrastructures. User application logs and network logs collected consistently from the tenant virtual machines VMs are saved within the Hadoop Distributed File system HDFS . Extraction of attack features is performed through graph based event correlation and Map Reduce parser based identification of potential attack paths. Two step machine learning approaches logistic regression and belief propagation are used to perform the determination of attack presence.

BY Hilal Ahmad Khan | Gurinder Pal “Study and Analysis of Big Data Security Analytics for Protecting Cloud Based Virtualized Infrastructures”

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd29709.pdf

Paper URL: https://www.ijtsrd.com/computer-science/computer-security/29709/study-and-analysis-of-big-data-security-analytics-for-protecting-cloud-based-virtualized-infrastructures/hilal-ahmad-khan

manuscript submission, paper publication for engineering, ugc approved journals for social science




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