Nist cloud computing

In this article NIST CSF overview The National Institute of Standards and Technology (NIST) The NIST CSF references globally recognized standards including NIST Security and Privacy Controls for Information Systems and Organizations. Each control within the CSF is mapped to corresponding NIST 800-53 controls within the US Azure and NIST CSF FedRAMP was established to provide a standardized approach for assessing, monitoring, and authorizing cloud computing products and services. FedRAMP is based on the NIST SP 800-53 standard, augmented by FedRAMP controls and control enhancements. Both Azure and Azure Government maintain a An accredited third-party assessment organization (3PAO) has attested that Azure cloud services conform to the NIST CSF risk management practices, as defined in the NIST CSF version 1.1. Implementation of the FedRAMP High baseline controls ensures that Azure commercial and Azure Government cloud environments integrate the NIST CSF to provide reliability and resilience within their critical infrastructures. Moreover, Microsoft has developed a NIST CSF For extra customer assistance, Microsoft provides the Azure Policy regulatory compliance built-in initiatives, which map to NIST SP 800-53 compliance domains and controls in Azure and Azure Government: • Azure • • Azure Government • Regulatory compliance in Azure Policy provides built-in initiative definitions to view a list of the controls and compliance domains based on responsibility – customer, Microsof...

Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models. Nivethitha S, Gauthama Raman M, Gireesha O, Kannan K and Shankar Sriram V (2019). An improved rough set approach for optimal trust measure parameter selection in cloud environments, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23 :22, (11979-11999), Online publication date: 1-Nov-2019. • Santos G, Takako Endo P, Ferreira Da Silva Lisboa Tigre M, Ferreira Da Silva L, Sadok D, Kelner J and Lynn T (2018). Analyzing the availability and performance of an e-health system integrated with edge, fog and cloud infrastructures, Journal of Cloud Computing: Advances, Systems and Applications, 7 :1, (1-22), Online publication date: 1-Dec-2018. • Silva K, Rocha A and Guimaraes F Trust in the Cloud from the Sec- SLA construction in various models as deployment and service Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era - Volume 1, (329-336) • Zawawi N, Hamdy M, Ghary R and Tolba M (2016). Realization of a data traceability and re...

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