Toward a Cloud Computing Learning Community

Foster, Derek; White, Laurie; Erdil, D. Cenk; Adams, Joshua; Cruz, Amadeo José Argüelles; Hainey, Brian; Hyman, Harvey; Lewis, Gareth; Nazir, Sajid; Nguyen, Van Tinh; Sakr, Majd; Stott, Lee

doi:10.1145/3344429.3372506

Cited by 15 publications

(11 citation statements)

References 10 publications

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“…Also, both organizational and interorganizational services can be provided to actors of the supply chain. Interconnected objects, managed and accessed through data mining processes such as Blockchain, can be partly accessed and function as sensors and are enabled to interact with other devices [34,35]. Such systems, made up of smart artifacts within the IoT system, demand minimal or no human action in order to exchange and produce data, often assisted by artificial intelligence mechanisms [36].…”

Section: The Industrial Internet Of Things (Iiot)mentioning

confidence: 99%

“…Furthermore, the IoT can be enhanced with an AI at the gateway level to detect and classify suspected activities [14]. Moreover, Blockchain technology is also of use in parallel with cloud computing for higher education, in terms of primary infrastructure topology, putting together machine learning and artificial intelligence on training opportunities [35].…”

Section: Blockchain and Cloud Computingmentioning

confidence: 99%

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Cybersecurity in the Internet of Things in Industrial Management

Raimundo

Rosário

2022

Applied Sciences

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Nowadays, people live amidst the smart home domain, while there are business opportunities in industrial smart cities and healthcare. However, there are concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues have become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limited, as far as machine resources are concerned. In this way, traditional security does not fit in IoT systems. The issue of cybersecurity has become paramount to the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) in mitigating cybersecurity risk for organizations and end users. New cybersecurity technologies/applications present improvements for IoT security management. Nevertheless, there is a gap in the effectiveness of IoT cyber risk solutions. This review article discusses the literature trends around opportunities and threats in cybersecurity for IIoT, by reviewing 70 key articles discovered from a profound Scopus literature survey. It aims to present the current debate around the issue of IIoT rather than suggesting any particular technical solutions to solve network security problems.

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Section: The Industrial Internet Of Things (Iiot)mentioning

confidence: 99%

Section: Blockchain and Cloud Computingmentioning

confidence: 99%

Cybersecurity in the Internet of Things in Industrial Management

Raimundo

Rosário

2022

Applied Sciences

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“…Also, both organizational and inter organizational services can be provided to ac-tors of the supply chain, interconnected objects, managed and accessed through data mining processes like Blockchain can be partly accessed and function as sensors and are enabled to interact with other devices [34,35]. Such system, made up of smart ar-tifacts within the IoT system demands minimal or none human action to exchange and produce data, often assisted by Artificial Intelligence mechanisms [36].…”

Section: The Industrial Internet Of Things (Iiot)mentioning

confidence: 99%

Cybersecurity in the Internet of Things in Industrial Management

Raimundo¹,

Rosário²

2021

Preprint

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Nowadays, people live amidst the smart home domain, business opportunities in the industrial smart city and health care, though, along with concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limited in what comes to machine resources. In this way, traditional security does not fit in IoT systems. In this vein, the issue of cyber security has become paramount to the Internet of Things (IoT) and Industrial Internet of Things (IIoT) in mitigating cyber security risk for organizations and end users. New cyber security technologies / applications present improvements for IoT security management. Nevertheless, there is a gap on the effectiveness of IoT cyber risk solutions. This review article discusses the, trends around opportunities and threats in cyber security for IIoT.

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“…An initial WG in 2018 [28] documented industry needs alongside existing cloud curricula and mapped out a knowledge base consisting of fourteen Knowledge Areas (KAs) and associated Learning Objectives (LOs) applicable to teaching cloud concepts. Building on the KAs, a second WG in 2019 [29] surveyed the existing landscape for publicly available courses and created a mechanism for faculty to share teaching materials. In 2020, the third WG [14] collected existing teaching materials from numerous sources and used it to review and refine the KAs and LOs, create sample syllabi, and update and seed the repository.…”

Section: Introductionmentioning

confidence: 99%

Designing Dissemination and Validation of a Framework for Teaching Cloud Fundamentals

Paterson

Adams

White

et al. 2021

Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education

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Three previous Working Groups (WGs) met at ITiCSE conferences to explore ways to help educators incorporate cloud computing into their courses and curricula by mapping industry job skills to knowledge areas (KAs). These WGs identified, organized, and grouped together student learning objectives (LOs) and developed these KAs and LOs in a repository of learning materials and course exemplars. * Leader Approaches to validating that a cloud computing course designed around the KAs and LOs can meet the needs of industry have been outlined with further iterations being considered. A research plan has been designed for a study to be implemented over the coming year in order to perform this validation.

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Toward a Cloud Computing Learning Community

Cited by 15 publications

References 10 publications

Cybersecurity in the Internet of Things in Industrial Management

Cybersecurity in the Internet of Things in Industrial Management

Cybersecurity in the Internet of Things in Industrial Management

Designing Dissemination and Validation of a Framework for Teaching Cloud Fundamentals

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