Exploring Risks Transferred from Cloud-Based Information Systems: A Quantitative and Longitudinal Model

Wafa Bouaynaya (), Hongbo Lyu and Zuopeng Zhang
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Wafa Bouaynaya: CRIISEA - Centre de Recherche sur les Institutions, l'Industrie et les Systèmes Économiques d'Amiens - UR UPJV 3908 - UPJV - Université de Picardie Jules Verne

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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.

Date: 2018-10
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Published in Sensors, 2018, 18 (10), pp.3488. ⟨10.3390/s18103488⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03688733

DOI: 10.3390/s18103488

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