Exploring risks transferred from cloud-based information systems: A quantitative and longitudinal model
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.
Digital Object Identifier (DOI)
Bouaynaya, Lyu, H., & Zhang, Z. J. (2018). Exploring Risks Transferred from Cloud-Based Information Systems: A Quantitative and Longitudinal Model. Sensors (Basel, Switzerland), 18(10), 3488–. https://doi.org/10.3390/s18103488