Develop ten security analytics metrics for big data on the cloud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reviews big data security analytics and looks into the big data lifecycle for assessments of big data security challenge in clouds. The paper justifies the reasons to develop big data security metrics. In this paper, we propose ten big data security metrics securing big data on cloud. This paper contributes new knowledge to big data security by tying with right security metrics.

Original languageEnglish (US)
Title of host publicationAdvances in Data Sciences, Security and Applications - Proceedings of ICDSSA 2019
EditorsVanita Jain, Gopal Chaudhary, M. Cengiz Taplamacioglu, M. S. Agarwal
PublisherSpringer
Pages445-456
Number of pages12
ISBN (Print)9789811503719
DOIs
Publication statusPublished - Jan 1 2020
EventInternational Conference on Data Sciences, Security and Applications, ICDSSA 2019 - New Delhi, India
Duration: Mar 7 2019Mar 8 2019

Publication series

NameLecture Notes in Electrical Engineering
Volume612
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Data Sciences, Security and Applications, ICDSSA 2019
CountryIndia
CityNew Delhi
Period3/7/193/8/19

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Wang, Y., Rawal, B. S., & Duan, Q. (2020). Develop ten security analytics metrics for big data on the cloud. In V. Jain, G. Chaudhary, M. C. Taplamacioglu, & M. S. Agarwal (Eds.), Advances in Data Sciences, Security and Applications - Proceedings of ICDSSA 2019 (pp. 445-456). (Lecture Notes in Electrical Engineering; Vol. 612). Springer. https://doi.org/10.1007/978-981-15-0372-6_36