ABSTRACT
When pandemic rose in 2020, people were fighting against COVID-19 virus and organizations had accelerated their digitization and cloud adoption rapidly (De et al. in Int J Inf Manag 55:102171, 2020 [1]) to meet the online based business during the lockdown. This chaos helped fraudsters and attackers taking advantage of the momentary lack of security controls and oversight. Federal Investigation Bureau (FBI) Internet Crime Compliant Center (IC3) 2020 reported highest number of complaints in 2020 (791 k + ) compared to prior five years (298 k + in 2016), with peak losses reported ($4.2 Billion in 2020 compared to $1.5 Billion in 2016) (Internet Crime Complaint Center in Internet crime report. Federal Bureau of Investigation, Washington, D.C., 2020 [2]). Majority of these incidents were connected to financial fraud, identity fraud, and phishing for personally identifiable information (PII). Considering the severity and impact of personal data exposure over cloud and hybrid environment, this paper provides a brief overview of prior research and discuss technical solutions to protect data across heterogeneous environments and ensure privacy regulations. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Over the past twelve years, cloud systems have significantly changed business processes in all areas of business. Companies are using cloud services as a key factor in completing their digital transformation, and the COVID pandemic has further accelerated this task. The cloud is emerging as a top management agenda item as companies move from a separate approach to a more holistic, end-to-end digital transformation driven by the cloud. Cloud services save businesses time and money by increasing productivity, improving collaboration, and driving innovation. Now—during the coronavirus crisis, more than ever, cloud services are vital to help companies re-discover, reinvent and overcome uncertainty. Cloud services range from data storage to functional software, including accounting software, customer service tools, and remote desktop hosting. These services can be divided into three groups: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). This article is devoted to an analytical overview of modern digital cloud services, and the services they provide that can be applied in all areas of business. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Over the past twelve years, cloud systems have significantly changed business processes in all areas of business. Companies are using cloud services as a key factor in completing their digital transformation, and the COVID pandemic has further accelerated this task. The cloud is emerging as a top management agenda item as companies move from a separate approach to a more holistic, end-to-end digital transformation driven by the cloud. Cloud services save businesses time and money by increasing productivity, improving collaboration, and driving innovation. Now—during the coronavirus crisis, more than ever, cloud services are vital to help companies re-discover, reinvent and overcome uncertainty. Cloud services range from data storage to functional software, including accounting software, customer service tools, and remote desktop hosting. These services can be divided into three groups: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). This article is devoted to an analytical overview of modern digital cloud services, and the services they provide that can be applied in all areas of business. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The COVID-19 emergency suddenly obliged schools and universities around the world to deliver on-line lectures and services. While the urgency of response resulted in a fast and massive adoption of standard, public on-line platforms, generally owned by big players in the digital services market, this does not sufficiently take into account privacy-related and security-related issues and potential legal problems about the legitimate exploitation of the intellectual rights about contents. However, the experience brought to attention a vast set of issues, which have been addressed by implementing these services by means of private platforms. This work presents a modeling and evaluation framework, defined on a set of high-level, management-oriented parameters and based on a Vectorial Auto Regressive Fractional (Integrated) Moving Average based approach, to support the design of distance learning architectures. The purpose of this framework is to help decision makers to evaluate the requirements and the costs of hybrid cloud technology solutions. Furthermore, it aims at providing a coarse grain reference organization integrating low-cost, long-term storage management services to implement a viable and accessible history feature for all materials. The proposed solution has been designed bearing in mind the ecosystem of Italian universities. A realistic case study has been shaped on the needs of an important, generalist, polycentric Italian university, where some of the authors of this paper work.