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Towards performance evaluation of cloud service providers for cloud data security

Author

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  • Ramachandran, Muthu
  • Chang, Victor

Abstract

Today’s data is sensitive that requires privacy and security both from the cloud service providers (CSP) as well as from users in its all the form of data states: data at rest, while transferring data, enquiring data, and processing the data. Cloud computing has been applied in the health sector, national security services, banking and other business and companies that store confidential data into the cloud as we have seen in recent years. Therefore, information and data security is a crucial issue that needs to be addressed thoroughly in the cloud computing business. This research deals with the performance analysis of recent cloud data security models. This paper proposes cloud data security models based on Business Process Modeling Notations (BPMN) and simulation results can reveal performances issues related to data security as part of any organizations initiative on Business process management (BPM).

Suggested Citation

  • Ramachandran, Muthu & Chang, Victor, 2016. "Towards performance evaluation of cloud service providers for cloud data security," International Journal of Information Management, Elsevier, vol. 36(4), pages 618-625.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:4:p:618-625
    DOI: 10.1016/j.ijinfomgt.2016.03.005
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    References listed on IDEAS

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    1. Tobias Ackermann, 2013. "IT Security Risk Management," Springer Books, Springer, edition 127, number 978-3-658-01115-4, January.
    2. Ackermann, Tobias, 2013. "IT security risk management : perceived IT security risks in the context of Cloud Computing," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 61710, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Ali, Omar & Shrestha, Anup & Soar, Jeffrey & Wamba, Samuel Fosso, 2018. "Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review," International Journal of Information Management, Elsevier, vol. 43(C), pages 146-158.
    2. Rahman, Mohammad Saidur & Khalil, Ibrahim & Yi, Xun, 2019. "A lossless DNA data hiding approach for data authenticity in mobile cloud based healthcare systems," International Journal of Information Management, Elsevier, vol. 45(C), pages 276-288.

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