Securing Big Data in the Cloud with Integrated Auditing

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

Abstract

In this paper, we review big data characteristics and security challenges in the cloud and visit different cloud domains and security regulations. We propose using integrated auditing for secure data storage and transaction logs, real-time compliance and security monitoring, regulatory compliance, data environment, identity and access management, infrastructure auditing, availability, privacy, legality, cyber threats, and granular auditing to achieve big data security. We apply a stochastic process model to conduct security analyses in availability and mean time to security failure. Potential future works are also discussed.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017
EditorsMeikang Qiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages126-131
Number of pages6
ISBN (Electronic)9781538636848
DOIs
StatePublished - Nov 22 2017
Event2nd IEEE International Conference on Smart Cloud, SmartCloud 2017 - New York, United States
Duration: Nov 3 2017Nov 5 2017

Publication series

NameProceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017

Other

Other2nd IEEE International Conference on Smart Cloud, SmartCloud 2017
CountryUnited States
CityNew York
Period11/3/1711/5/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Artificial Intelligence

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  • Cite this

    Wang, Y., Rawal, B., & Duan, Q. (2017). Securing Big Data in the Cloud with Integrated Auditing. In M. Qiu (Ed.), Proceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017 (pp. 126-131). [8118429] (Proceedings - 2nd IEEE International Conference on Smart Cloud, SmartCloud 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartCloud.2017.26