A framework for comparing quantitative and qualitative criteria of IoT platforms

Salami, A R; Yari, Alireza

doi:10.1109/icwr.2018.8387234

Cited by 16 publications

(7 citation statements)

References 6 publications

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“…It is an important future work to analyze existing public IoT cloud software development kits (SDKs) (e.g., [95]). In contrast to developing an IoT cloud ecosystem from the ground up, manufacturers may choose to use existing public IoT cloud SDKs provided by mainstream clouds.…”

Section: Public Iot Cloud Sdk Security Analysismentioning

confidence: 99%

IoT Cloud Security Review

et al. 2021

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Recent years have seen the rapid development and integration of the Internet of Things (IoT) and cloud computing. The market is providing various consumer-oriented smart IoT devices; the mainstream cloud service providers are building their software stacks to support IoT services. With this emerging trend even growing, the security of such smart IoT cloud systems has drawn much research attention in recent years. To better understand the emerging consumer-oriented smart IoT cloud systems for practical engineers and new researchers, this article presents a review of the most recent research efforts on existing, real, already deployed consumer-oriented IoT cloud applications in the past five years using typical case studies. Specifically, we first present a general model for the IoT cloud ecosystem. Then, using the model, we review and summarize recent, representative research works on emerging smart IoT cloud system security using 10 detailed case studies, with the aim that the case studies together provide insights into the insecurity of current emerging IoT cloud systems. We further present a systematic approach to conduct a security analysis for IoT cloud systems. Based on the proposed security analysis approach, we review and suggest potential security risk mitigation methods to protect IoT cloud systems. We also discuss future research challenges for the IoT cloud security area.

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Section: Public Iot Cloud Sdk Security Analysismentioning

confidence: 99%

IoT Cloud Security Review

et al. 2021

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“…IBM Watson IoT platform: IBM Watson had a market share of 18% in 2018 [39] and provides connectivity, analysis, device management and information management [19], [48]. IBM Watson employs two-way communication with the end user and also uses blockchain services.…”

Section: Sourcementioning

confidence: 99%

Twenty-One Key Factors to Choose an IoT Platform: Theoretical Framework and Its Applications

Ullah

Nardelli

Wolff

et al. 2020

IEEE Internet Things J.

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Internet of Things (IoT) refers to the interconnection of physical objects via the Internet. It utilises complex backend systems which need different capabilities depending on the requirements of the system. IoT has already been used in various applications, such as agriculture, smart home, health, automobiles, and smart grids. There are many IoT platforms, each of them capable of providing specific services for such applications. Finding the best match between application and platform is, however, a hard task as it can difficult to understand the implications of small differences between platforms. This paper builds on previous work that has identified twenty-one important factors of an IoT platform, which were verified by Delphi method. We demonstrate here how these factors can be used to discriminate between five well known IoT platforms, which are arbitrarily chosen based on their market share. These results illustrate how the proposed approach provides an objective methodology that can be used to select the most suitable IoT platform for different business applications based on their particular requirements.

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“…Non-functional requirements are a set of technical features that are mandatories in the application like (database management, authentication), and other options that aim to increase quality applications like (historical data, Data classifier). [8]. All those comparative studies compared monolithic approaches of Internet of Things platforms.…”

Section: Related Workmentioning

confidence: 99%

A Comparative Study of Microservices-based IoT Platforms

Khalyly¹,

Belangour²,

Banane³

et al. 2020

IJACSA

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Internet of Things (IoT) is a set of technologies that aim at fitting together smart devices and applications to build an IoT ecosystem. The target of this kind of ecosystem is to enhance interaction between machines and humans through hardware to software binding while reducing cost and resource consumption. On the application level, IoT ecosystems were implemented by various technologies that all seek better interconnection, monitoring, and controlling of IoT smart devices. Among recent technologies, Microservices, which are a variant of the serviceoriented architecture, are subject to great excitement. In fact, Microservices are an emerging technology built around Microservice paradigm which goal is to offer services with a small granularity, which exactly meets the distributed nature of IoT devices while maintaining a loosely coupled architecture between IoT components among other advantages. Efforts to build Microservice-based IoT platforms sooner emerged to take advantage of the numerous benefits of the Microservice paradigm to build scalable, interoperable, and dynamic ecosystems. The goal of this paper is to list these approaches, classify them and compare them using a Weighted Scoring Model (WSM) method. This involves, studying these platforms, establishing relevant criteria for comparison, assigning weights for each criterion, and finally calculating scores. The obtained results reveal the weaknesses and strengths of each of the studied platforms.

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A framework for comparing quantitative and qualitative criteria of IoT platforms

Cited by 16 publications

References 6 publications

IoT Cloud Security Review

IoT Cloud Security Review

Twenty-One Key Factors to Choose an IoT Platform: Theoretical Framework and Its Applications

A Comparative Study of Microservices-based IoT Platforms

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