A Decision Framework for Blockchain Platforms for IoT and Edge Computing

Pahl, Claus; Ioini, Nabil El; Helmer, Sven

doi:10.5220/0006688601050113

Cited by 53 publications

(33 citation statements)

References 7 publications

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“…Moreover, their proposed method assists the decision-makers with the configuration of selected blockchain platforms. Pahl et al [20] introduce a BDT-based framework to guide decision-makers on whether to use blockchain technology or not. Furthermore, they categorize blockchain platforms into three categories (public permissionless, public permissioned, and private) and compare them against each other based on a set of decision criteria.…”

Section: Related Workmentioning

confidence: 99%

Decision Support for Blockchain Platform Selection: Three Industry Case Studies

Farshidi

Jansen

España

et al. 2020

IEEE Trans. Eng. Manage.

139

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Blockchain technology has received significant attention recently, as it offers a reliable decentralized infrastructure for all kinds of business transactions. Software-producing organizations are increasingly considering blockchain technology for inclusion into their software products. Selecting the best fitting blockchain platform requires the assessment of its functionality, adaptability, and compatibility to the existing software product. Novice software developers and architects are not experts in every domain, so they should either consult external experts or acquire knowledge themselves. The decision-making process gets more complicated as the number of decision-makers, alternatives, and criteria increases. Hence, a decision model is required to externalize and organize knowledge regarding the blockchain platform selection context. Recently, we designed a decision support system to use such decision models to support decision-makers with their technology selection problems in software production. In this article, we introduce a decision model for the blockchain platform selection problem. The decision model has been evaluated through three real-world case studies at three software-producing organizations. The case-study participants asserted that the approach provides significantly more insight into the blockchain platform selection process, provides a richer prioritized option list than if they had done their research independently, and reduces the time and cost of the decision-making process.

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Section: Related Workmentioning

confidence: 99%

Decision Support for Blockchain Platform Selection: Three Industry Case Studies

Farshidi

Jansen

España

et al. 2020

IEEE Trans. Eng. Manage.

139

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“…Our application of blockchain techniques in localized clusters of edge devices is novel, addressing security (origin, identity, non‐repudiation) in such autonomous distributed clusters . Our blockchain‐based pattern realizes the identity, provenance and contract processing requirements by using permissioned blockchains .…”

Section: Background and Related Workmentioning

confidence: 99%

“…Our application of blockchain techniques in localized clusters of edge devices is novel, addressing security (origin, identity, non-repudiation) in such autonomous distributed clusters. 11 Our blockchain-based pattern realizes the identity, provenance and contract processing requirements by using permissioned blockchains. 12 The semantic pattern presented here aims at formalizing a structure-oriented architecture pattern through an ontology as the formal foundation of the key constructs that allows to prove security properties of the blockchain solution.…”

Section: Background and Related Workmentioning

confidence: 99%

A semantic pattern for trusted orchestration in IoT edge clouds

Pahl

Ioini

Helmer

et al. 2019

Internet Technology Letters

Self Cite

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Edge cloud architectures provide a layer between centralized clouds and the IoT and sensor space. In this intermediate layer, we find devices of different types that manage the communication with sensors and cloud services, but also process data from sensors locally without access to the cloud. In order to support the flexible creation, placement and usage of data and software resources in this layer, advanced orchestration techniques need to include communication and processing activities. These architectures often stretch cross organizational boundaries, causing trust concerns regarding secure data storage and the management of the identity of sensors and also the origin of data. We present an ontology‐based semantic pattern that semantically defines trusted orchestration for edge clouds by linking a trust ontology to an architecture pattern and that allows reasoning about essential trust properties.

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“…This, in turn, enables the digital world to directly affect our physical space through sensing and automation. While this integration presents several opportunities for improved services, it also exposes us to threats and attacks that prevail in the digital space [6]. By way of an example is Ambient Assisted Living (AAL) environment -a technical system built to support the elderly and infirmed to improve their safety and enhance day-to-day living [7].…”

Section: Introductionmentioning

confidence: 99%

Holistic Blockchain Approach to Foster Trust, Privacy and Security in IoT Based Ambient Assisted Living Environment

Mkpa

Chin

Winckles

2019

2019 15th International Conference on Intelligent Environments (IE)

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The application of blockchains techniques in the Internet of Things (IoT) is gaining much attention with new solutions proposed in diverse areas of the IoT. Conventionally IoT systems are designed to follow the centralised paradigm where security and privacy control is vested on a "trusted" third-party. This design leaves the user at the mercy of a sovereign broker and in addition, susceptible to several attacks. The implicit trust and the inferred reliability of centralised systems have been challenged recently following several privacy violations and personal data breaches. Consequently, there is a call for more secure decentralised systems that allows for finer control of user privacy while providing secure communication. Propitiously, the blockchain holds much promise and may provide the necessary framework for the design of a secure IoT system that guarantees fine-grained user privacy in a trustless manner. In this paper, we propose a holistic blockchain-based decentralised model for Ambient Assisted Living (AAL) environment. The nodes in our proposed model utilize smart contracts to define interaction rules while working collaboratively to contribute storage and computing resources. Based on the blockchain technique, our proposed model promotes trustless interaction and enhanced user's privacy through the blockchain-Interplanetary File System (IPFS) alliance. The proposed model also addresses the shortfall of storage constraints exhibited in many IoT systems.

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A Decision Framework for Blockchain Platforms for IoT and Edge Computing

Cited by 53 publications

References 7 publications

Decision Support for Blockchain Platform Selection: Three Industry Case Studies

Decision Support for Blockchain Platform Selection: Three Industry Case Studies

A semantic pattern for trusted orchestration in IoT edge clouds

Holistic Blockchain Approach to Foster Trust, Privacy and Security in IoT Based Ambient Assisted Living Environment

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