Multi-tenant data isolation techniques in public clouds assessing the effectiveness of isolation mechanisms

Karthik Venkatesh Ratnam; Rajashekar Reddy Yasani

doi:10.30574/wjarr.2021.12.1.0402

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 || CrossRef DOI

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Multi-tenant data isolation techniques in public clouds assessing the effectiveness of isolation mechanisms

Karthik Venkatesh Ratnam ¹ and Rajashekar Reddy Yasani ^{2, *}

¹ Southern Methodist University, USA.

² Murray State University, USA.

Research Article

World Journal of Advanced Research and Reviews, 2021, 12(01), 529-539

Article DOI: 10.30574/wjarr.2021.12.1.0402

DOI url: https://doi.org/10.30574/wjarr.2021.12.1.0402

Publication history

Received on 02 August 2021; revised on 22 October 2021; accepted on 26 October 2021

Abstract

Cloud computing is characterized by its capacity for multiple tenants to share a single cloud infrastructure, which is known as multi-tenancy. Even while it offers cost-efficiency and resource optimization, implementing multi-tenancy raises a number of distinct security challenges. With an emphasis on isolation and access control methods, this paper aims to offer a thorough investigation into the security of multi-tenancy in cloud computing. In this study, the potential dangers that are linked with co-located tenants are investigated, and a variety of measures that can be used to guarantee strong isolation between renters are discussed. Furthermore, the research examines access control methods including Attribute-Based Access Control (ABAC) and Role-Based Access Control (RBAC) to enforce finer-grained access permissions. Both cloud service providers and tenants can enhance cloud security by learning and using effective isolation and access control mechanisms. This will help with multi-tenant setups and overall cloud security.

Keywords

Multi-tenancy security; Cloud computing; Isolation; Access control; Co-located tenants

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Karthik Venkatesh Ratnam and Rajashekar Reddy Yasani. Multi-tenant data isolation techniques in public clouds assessing the effectiveness of isolation mechanisms. World Journal of Advanced Research and Reviews, 2021, 12(1), 529-539. Article DOI: https://doi.org/10.30574/wjarr.2021.12.1.0402

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Multi-tenant data isolation techniques in public clouds assessing the effectiveness of isolation mechanisms

Karthik Venkatesh Ratnam ¹ and Rajashekar Reddy Yasani ^{2, *}

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Multi-tenant data isolation techniques in public clouds assessing the effectiveness of isolation mechanisms

Karthik Venkatesh Ratnam 1 and Rajashekar Reddy Yasani 2, *

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Karthik Venkatesh Ratnam ¹ and Rajashekar Reddy Yasani ^{2, *}