Exploring risks transferred from cloud-based information systems: A quantitative and longitudinal model

Document Type

Article

Publication Date

10-16-2018

Abstract

With the growing popularity of Internet of Things (IoT) and Cyber-Physical Systems (CPS), cloud-based systems have assumed a greater important role. However, there lacks formal approaches to modeling the risks transferred through information systems implemented in a cloud-based environment. This paper explores formal methods to quantify the risks associated with an information system and evaluate its variation throughout its implementation. Specifically, we study the risk variation through a quantitative and longitudinal model spanning from the launch of a cloud-based information systems project to its completion. In addition, we propose to redefine the risk estimation method to differentiate a mitigated risk from an unmitigated risk. This research makes valuable contributions by helping practitioners understand whether cloud computing presents a competitive advantage or a threat to the sustainability of a company.

Publication Title

Sensors (Switzerland)

Volume

18

Issue

10

Digital Object Identifier (DOI)

10.3390/s18103488

PubMed ID

30332831

ISSN

14248220

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