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

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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)

  • Hongbo Lyu
  • Zuopeng Zhang

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.

Suggested Citation

  • Wafa Bouaynaya & Hongbo Lyu & Zuopeng Zhang, 2018. "Exploring Risks Transferred from Cloud-Based Information Systems: A Quantitative and Longitudinal Model," Post-Print hal-03688733, HAL.
    • Handle: RePEc:hal:journl:hal-03688733
    DOI: 10.3390/s18103488
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    Cited by:

    1. Wafa Bouaynaya, 2020. "Characterization of Cloud Computing Reversibility as Explored by the DELPHI Method," Information Systems Frontiers, Springer, vol. 22(6), pages 1505-1518, December.

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