Selecting a secure cloud provider-an empirical study and multi criteria approach

S. Pape, F. Paci, J. Jürjens, F. Massacci

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

© 2020 by the authors.Security has become one of the primary factors that cloud customers consider when they select a cloud provider for migrating their data and applications into the Cloud. To this end, the Cloud Security Alliance (CSA) has provided the Consensus Assessment Questionnaire (CAIQ), which consists of a set of questions that providers should answer to document which security controls their cloud offerings support. In this paper, we adopted an empirical approach to investigate whether the CAIQ facilitates the comparison and ranking of the security offered by competitive cloud providers. We conducted an empirical study to investigate if comparing and ranking the security posture of a cloud provider based on CAIQ's answers is feasible in practice. Since the study revealed that manually comparing and ranking cloud providers based on the CAIQ is too time-consuming, we designed an approach that semi-automates the selection of cloud providers based on CAIQ. The approach uses the providers' answers to the CAIQ to assign a value to the different security capabilities of cloud providers. Tenants have to prioritize their security requirements. With that input, our approach uses an Analytical Hierarchy Process (AHP) to rank the providers' security based on their capabilities and the tenants' requirements. Our implementation shows that this approach is computationally feasible and once the providers' answers to the CAIQ are assessed, they can be used for multiple CSP selections. To the best of our knowledge this is the first approach for cloud provider selection that provides a way to assess the security posture of a cloud provider in practice.
Original languageEnglish
Article number261
JournalInformation (Switzerland)
Volume11
Issue number5
DOIs
Publication statusPublished - 1 May 2020
Externally publishedYes

Funding

This research was partly funded by the European Union within the projects Seconomics (grant number 285223), ClouDAT (grant number 300267102) and CyberSec4Europe (grant number 830929). We thank Woohyun Shim for fruitful discussions on the economic background of this paper and Katsiaryna Labunets for her help in conducting the experiment.

FundersFunder number
Horizon 2020 Framework Programme
European Commission285223, 300267102, 830929

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