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Quantitative Analysis of Opacity in Cloud Computing Systems

Lookup NU author(s): Wen Zeng, Professor Maciej KoutnyORCiD

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2021.

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Abstract

Federated cloud systems increase the reliability and reduce the cost of the computational support. The resultingcombination of secure private clouds and less secure public clouds, together with the fact that resources need to be located within different clouds, strongly affects the information flow security of the entire system. In this paper, the clouds as well as entities of a federated cloud system are assigned security levels, and a probabilistic flow sensitive security model for a federated cloud system is proposed. Then the notion of opacity — a notion capturing the security of information flow — of a cloud computing systems is introduced, and different variants of quantitative analysis of opacity are presented. As a result, one can track the information flow in a cloud system, and analyze the impact of different resource allocation strategies by quantifying the corresponding opacity characteristics.

Publication metadata

Author(s): Zeng W, Koutny M

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Cloud Computing

Year: 2021

Volume: 9

Issue: 3

Pages: 1210-1219

Print publication date: 01/07/2021

Online publication date: 23/01/2019

Acceptance date: 19/01/2019

Date deposited: 20/01/2019

ISSN (electronic): 2168-7161

Publisher: IEEE

URL: https://doi.org/10.1109/TCC.2019.2894768

DOI: 10.1109/TCC.2019.2894768

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