Title: Data residency as a service: a secure mechanism for storing data in the cloud

Authors: K. Rajesh Rao; Ashalatha Nayak

Addresses: Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India ' Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

Abstract: Recently, researchers have been working on cloud data assurance models to ensure that the data is in compliance with the policies. In such a model, the data is placed in the intended data centres without focusing on data residency issues. Thus, in order to solve such issues, we have proposed a framework known as the data resident storage (DRS) which is intended to achieve data residency protection, thus providing data residency as a service (DRaaS). The finite state machine model is developed for the purpose of verifying the methodology in terms of data location and data access. The validation is carried out in the CloudSim toolkit with the help of defined services. The developed test automation framework places the data only in data centres that are in compliance with data residency laws. Finally, this framework can be hosted by the cloud service provider to provide DRaaS to the end users.

Keywords: data residency; data residency protection; data residency laws; data privacy; data confidentiality.

DOI: 10.1504/IJES.2019.100875

International Journal of Embedded Systems, 2019 Vol.11 No.4, pp.397 - 418

Received: 02 Feb 2017
Accepted: 02 Dec 2017

Published online: 25 Jun 2019 *

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