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Journal ArticleDOI

On blockchain and its integration with IoT. Challenges and opportunities

Ana Reyna1, Cristian Martín1, Jaime Chen1, Enrique Soler1, Manuel Díaz1 
01 Nov 2018-Future Generation Computer Systems (North-Holland)-Vol. 88, pp 173-190
TL;DR: This paper focuses on the relationship between blockchain and IoT, investigates challenges in blockchain IoT applications, and surveys the most relevant work in order to analyze how blockchain could potentially improve the IoT.
About: This article is published in Future Generation Computer Systems.The article was published on 2018-11-01 and is currently open access. It has received 1255 citations till now. The article focuses on the topics: Smart contract.
Citations
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Journal ArticleDOI
TL;DR: Digital twins as discussed by the authors is an emerging concept that has become the centre of attention for industry and, in recent years, academia and a review of publications relating to Digital Twins is performed, producing a categorical review of recent papers.
Abstract: Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.

739 citations

Journal ArticleDOI
TL;DR: This work reviews the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.
Abstract: Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

660 citations


Cites background from "On blockchain and its integration w..."

  • ...[110] gives a detailed overview of integration of the blockchain technology with IoT, its challenges (related to scalability, privacy, security and a total dearth of censorship) and latest research work to alleviate the associated shortcomings....

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Journal ArticleDOI
TL;DR: An in-depth survey of BCoT is presented and the insights of this new paradigm are discussed and the open research directions in this promising area are outlined.
Abstract: Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with data-driven decision-making. However, intrinsic features of IoT result in a number of challenges, such as decentralization, poor interoperability, privacy, and security vulnerabilities. Blockchain technology brings the opportunities in addressing the challenges of IoT. In this paper, we investigate the integration of blockchain technology with IoT. We name such synthesis of blockchain and IoT as blockchain of things (BCoT). This paper presents an in-depth survey of BCoT and discusses the insights of this new paradigm. In particular, we first briefly introduce IoT and discuss the challenges of IoT. Then, we give an overview of blockchain technology. We next concentrate on introducing the convergence of blockchain and IoT and presenting the proposal of BCoT architecture. We further discuss the issues about using blockchain for fifth generation beyond in IoT as well as industrial applications of BCoT. Finally, we outline the open research directions in this promising area.

654 citations


Cites background from "On blockchain and its integration w..."

  • ...For example, PoW in BTC is shown to have high energy consumption [6]....

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  • ...Moreover, blockchain can also enhance the reliability and scalability of IoT systems [6]....

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  • ...In particular, there are two modes to store the blockchain data [6]: 1) full storage, in which the entire blockchain is stored and 2) partial storage, in which only a subset of data blocks are stored locally....

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  • ...[6] investigated the possibility and research issues of integrating blockchain with IoT....

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Journal ArticleDOI
TL;DR: This paper reviews the literature, tabulate, and summarize the emerging blockchain applications, platforms, and protocols specifically targeting AI area, and identifies and discusses open research challenges of utilizing blockchain technologies for AI.
Abstract: Recently, artificial intelligence (AI) and blockchain have become two of the most trending and disruptive technologies. Blockchain technology has the ability to automate payment in cryptocurrency and to provide access to a shared ledger of data, transactions, and logs in a decentralized, secure, and trusted manner. Also with smart contracts, blockchain has the ability to govern interactions among participants with no intermediary or a trusted third party. AI, on the other hand, offers intelligence and decision-making capabilities for machines similar to humans. In this paper, we present a detailed survey on blockchain applications for AI. We review the literature, tabulate, and summarize the emerging blockchain applications, platforms, and protocols specifically targeting AI area. We also identify and discuss open research challenges of utilizing blockchain technologies for AI.

570 citations

References
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Journal Article

28,685 citations


"On blockchain and its integration w..." refers background in this paper

  • ...Hyperledger Fabric [9] provides a distributed and scalable ledger focused on enterprise environments....

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  • ...Today smart contracts have been included in the majority of existing blockchain implementations, such as Hyperledger [9], a blockchain designed for companies that allows components to be deployed according to the needs of users (smart contracts, services or consultations among others) with the support of large companies such as IBM, JP Morgan, Intel and BBVA....

    [...]

  • ...The Practical Byzantine Fault Tolerance (PBFT) algorithm, which is based on state machine replication and replicate voting for consensus on state change, is used in Hyperledger and Multichain....

    [...]

  • ...To provide blockchain networks with privacy control, Hyperledger Fabric provides an identity control service and access control lists through private channels where users can control and restrict the access to their shared information in the network....

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  • ...It can also be adapted to Ethereum, Hyperledger and other blockchains....

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Journal ArticleDOI
TL;DR: The conclusion is that the blockchain-IoT combination is powerful and can cause significant transformations across several industries, paving the way for new business models and novel, distributed applications.
Abstract: Motivated by the recent explosion of interest around blockchains, we examine whether they make a good fit for the Internet of Things (IoT) sector. Blockchains allow us to have a distributed peer-to-peer network where non-trusting members can interact with each other without a trusted intermediary, in a verifiable manner. We review how this mechanism works and also look into smart contracts—scripts that reside on the blockchain that allow for the automation of multi-step processes. We then move into the IoT domain, and describe how a blockchain-IoT combination: 1) facilitates the sharing of services and resources leading to the creation of a marketplace of services between devices and 2) allows us to automate in a cryptographically verifiable manner several existing, time-consuming workflows. We also point out certain issues that should be considered before the deployment of a blockchain network in an IoT setting: from transactional privacy to the expected value of the digitized assets traded on the network. Wherever applicable, we identify solutions and workarounds. Our conclusion is that the blockchain-IoT combination is powerful and can cause significant transformations across several industries, paving the way for new business models and novel, distributed applications.

3,129 citations

Proceedings ArticleDOI
23 Apr 2018
TL;DR: This paper describes Fabric, its architecture, the rationale behind various design decisions, its most prominent implementation aspects, as well as its distributed application programming model, and shows that Fabric achieves end-to-end throughput of more than 3500 transactions per second in certain popular deployment configurations.
Abstract: Fabric is a modular and extensible open-source system for deploying and operating permissioned blockchains and one of the Hyperledger projects hosted by the Linux Foundation (www.hyperledger.org). Fabric is the first truly extensible blockchain system for running distributed applications. It supports modular consensus protocols, which allows the system to be tailored to particular use cases and trust models. Fabric is also the first blockchain system that runs distributed applications written in standard, general-purpose programming languages, without systemic dependency on a native cryptocurrency. This stands in sharp contrast to existing block-chain platforms that require "smart-contracts" to be written in domain-specific languages or rely on a cryptocurrency. Fabric realizes the permissioned model using a portable notion of membership, which may be integrated with industry-standard identity management. To support such flexibility, Fabric introduces an entirely novel blockchain design and revamps the way blockchains cope with non-determinism, resource exhaustion, and performance attacks. This paper describes Fabric, its architecture, the rationale behind various design decisions, its most prominent implementation aspects, as well as its distributed application programming model. We further evaluate Fabric by implementing and benchmarking a Bitcoin-inspired digital currency. We show that Fabric achieves end-to-end throughput of more than 3500 transactions per second in certain popular deployment configurations, with sub-second latency, scaling well to over 100 peers.

2,813 citations

Proceedings ArticleDOI
21 May 2015
TL;DR: A decentralized personal data management system that ensures users own and control their data is described, and a protocol that turns a block chain into an automated access-control manager that does not require trust in a third party is implemented.
Abstract: The recent increase in reported incidents of surveillance and security breaches compromising users' privacy call into question the current model, in which third-parties collect and control massive amounts of personal data. Bit coin has demonstrated in the financial space that trusted, auditable computing is possible using a decentralized network of peers accompanied by a public ledger. In this paper, we describe a decentralized personal data management system that ensures users own and control their data. We implement a protocol that turns a block chain into an automated access-control manager that does not require trust in a third party. Unlike Bit coin, transactions in our system are not strictly financial -- they are used to carry instructions, such as storing, querying and sharing data. Finally, we discuss possible future extensions to block chains that could harness them into a well-rounded solution for trusted computing problems in society.

1,953 citations

Journal ArticleDOI
TL;DR: The blockchain taxonomy is given, the typical blockchain consensus algorithms are introduced, typical blockchain applications are reviewed, and the future directions in the blockchain technology are pointed out.
Abstract: Blockchain has numerous benefits such as decentralisation, persistency, anonymity and auditability. There is a wide spectrum of blockchain applications ranging from cryptocurrency, financial services, risk management, internet of things (IoT) to public and social services. Although a number of studies focus on using the blockchain technology in various application aspects, there is no comprehensive survey on the blockchain technology in both technological and application perspectives. To fill this gap, we conduct a comprehensive survey on the blockchain technology. In particular, this paper gives the blockchain taxonomy, introduces typical blockchain consensus algorithms, reviews blockchain applications and discusses technical challenges as well as recent advances in tackling the challenges. Moreover, this paper also points out the future directions in the blockchain technology.

1,928 citations


"On blockchain and its integration w..." refers background in this paper

  • ...More details about the blockchain architecture can be found in [5,7]....

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