Blockchain Papers

Md. Mehedi Hassan Onik, Satyabrata Aich, Jinhong Yang, Chul‐Soo Kim · 5 authors

No abstract is available for this record.

Ravi Chandra Koirala, Keshav Dahal, Santiago Matalonga

The concept of openness and decentralization is one which people have desired since years. Everyone wants transactional data to be transparent. When sensitive data are on the hand of third-parties, it may be susceptible to frauds and misuse. The advent of blockchain, a decentralized technology in cryptocurrency, has revealed an appropriate solution to address such issues. Blockchain maintains the integrity of a transaction. It not only secures from tempering and fraud but also ensures transactions are verifiable without involvement of an intermediate. Therefore, blockchain is applied to different decentralized domains that require trusted computing. Supply chain is one of these domains, that can benefit from trustworthy decentralized transactions initiated by multiple stakeholders. This paper presents a general model for a blockchain enabled supply chain. We have implemented this model using three smart contracts on an Ethereum platform. We have provided evidence of our verification and validation efforts. Our results convey the feasibility of the approach, which can streamline the administrative processes, and automatize the transactions making the system more efficient and transparent.

Eman Daraghmi, Yousef‐Awwad Daraghmi, Shyan‐Ming Yuan

Although the blockchain technology was first introduced through Bitcoin, extending its usage to non-financial applications, such as managing electronic medical records, is an attractive mission for recent research to balance the needs for increasing data privacy and the regular interaction among patients and health providers. Various systems that adopts the blockchain in managing medical records have been proposed. However, there is a need for more work to better characterize, understand and evaluate the employment of blockchain technology in the healthcare industry. In this paper, a design of blockchain based system, namely MedChain, for managing medical records is proposed. MedChain is designed to improve the current systems as it provides interoperable, secure, and effective access for medical records by patients, health care providers, and other third parties, while keeping the patients' privacy. MedChain employs timed-based smart contracts for governing transactions and controlling accesses to electronic medical records. It adopts advanced encryption techniques for providing further security. This work proposes a new incentive mechanism that leverages the degree of health providers regarding their efforts on maintaining medical records and creating new blocks. Extensive experiments are conducted to evaluate the MedChain performance, and results indicate the efficiency of our proposal in handling a large dataset at low latency.

Sin Kuang Lo, Yue Liu, Su Yen Chia, Xiwei Xu · 7 authors

The Internet of Things (IoT) aims at connecting things to the Internet in a peer-to-peer paradigm for data collecting and data sharing in our daily life. A blockchain is an immutable append-only ledger maintained by a peer-to-peer network, where the whole network needs to reach a consensus on the transactional data stored on the ledger. With the decentralization nature, the design of IoT and blockchain aligns with each other well. Blockchain has been integrated with the IoT to solve the existing IoT problems. Our research focuses on analyzing the solutions proposed in academia and the methodologies used to integrate blockchain with the IoT. Through conducting a systematic literature review (SLR) on peer-reviewed, published articles on blockchain-based solutions for IoT, we gather the knowledge on current technical approaches implemented to integrate blockchain into the IoT. Majority of the research in this space is either at a conceptual level or at a very early stage. However, we only found 35 published papers with the real implementation of blockchain in the IoT platforms. We elicit the challenges of the IoT that were being addressed, and the detailed design of the blockchain-based solutions from two perspectives, namely data management and thing management. The evaluation methods and metrics used by those works are also being recorded and analyzed. In addition to the analysis of the literature, we provide our insights on improving the existing solutions and research methodology based on our expertise and experience on the blockchain.

George Drosatos, Eleni Kaldoudi

Blockchain is a distributed, immutable ledger technology introduced as the enabling mechanism to support cryptocurrencies. Blockchain solutions are currently being proposed to address diverse problems in different domains. This paper presents a scoping review of the scientific literature to map the current research area of blockchain applications in the biomedical domain. The goal is to identify biomedical problems treated with blockchain technology, the level of maturity of respective approaches, types of biomedical data considered, blockchain features and functionalities exploited and blockchain technology frameworks used. The study follows the PRISMA-ScR methodology. Literature search was conducted on August 2018 and the systematic selection process identified 47 research articles for detailed study. Our findings show that the field is still in its infancy, with the majority of studies in the conceptual or architectural design phase; only one study reports real world demonstration and evaluation. Research is greatly focused on integration, integrity and access control of health records and related patient data. However, other diverse and interesting applications are emerging, addressing medical research, clinical trials, medicines supply chain, and medical insurance.

Daniel Burkhardt, Patrick Frey, Heiner Lasi

The Internet of Things (IoT) describes the fusion of the physical and digital world which enables assets on the edge to send data to a platform where it gets analyzed. Defined actions are then triggered to influence cross-functional edge activities. Furthermore, on the platform tier functionalities and relations need to be identified and implemented to realize assets operating autonomously and ubiquitously. The exploration of this paper results in the identification of autonomous characteristics and shows functional components to implement autonomous assets on the edge. Distributed Ledger Technology (DLT) and its fusion with Machine Learning (ML) as an area of Artificial Intelligence (AI) provides an integral part to realize the described outline. Thus, the recognition of DLT’s and ML’s usage in the IoT and the evaluation of the relevance as well as the synergies build the main focus of this paper.

Benjamin Agbo, Yongrui Qin, Richard Hill

The significant growth and adoption of Internet of Things (IoT) solutions has led to tremendous increase in the generation of data. The need for high speed data processing has become very important to meet with the ever increasing volume and velocity of IoT data, due to the large scale and distributed nature of IoT infrastructure and networks. Present cloud based technologies are struggling to meet up with these needs for real time data processing in the midst of enormous amounts of data. The success of bitcoin has inspired more research in the application of Distributed ledger technologies in various domains. The decentralized nature of these platforms have enabled security and privacy of data in previous research and their architecture has a potential for enabling large scale decentralized data processing. In this paper, we identify some open areas of research in the use of distributed ledger technology and propose a framework for storing, analyzing and ensuring the security of large volumes of IoT data.

Yong Wang, Aiqing Zhang, Peiyun Zhang, Huaqun Wang

The sharing of electronic health records (EHRs) has great positive significance for research of disease and doctors' diagnosis. In recent years, cloud-based electronic medical record sharing scheme has brought a lot of conveniences, but the centralization of cloud exposes threats inevitably to data security and privacy preservation. Blockchain technology can be seen as a promising solution to address these problems on account of its unique propertis of decentration, anonymity, unforgeability and verifiability. In this paper, we propose a blockchain based secure and privacy-preserving EHR sharing protocol. Data requester can search desired keyword from data provider to find relevant EHRs on the EHR consortium blockchain and get the re-encryption ciphertext from cloud server after getting the data owner's authorization. The scheme mainly uses searchable encryption and conditional proxy re-encryption to realize data security, privacy preservation, and access control. Furthermore, proof of authorization is designed as the consensus mechanism for consortium blockchain to guarantee system's availability. Security analysis demonstrates that the proposed protocol can achieve security goals. Besides, we emulate the cryptographic primitives and implement the proposed scheme on Ethereum platform. Performance evaluation shows that the proposed scheme has high computational efficiency.

Yongjun Ren, Yan Leng, Yaping Cheng, Jin Wang

Edge computing is an important tool for smart computing, which brings convenience to data processing as well as security problems. In particular, the security of data storage under edge computing has become an obstacle to its widespread use. To solve the problem, the mechanism combing blockchain with regeneration coding is proposed to improve the security and reliability of stored data under edge computing. Our contribution is as follows. 1) According to the three-tier edge computing architecture and data security storage requirements, we proposed hybrid storage architecture and model specifically adapted to edge computing. 2) Making full use of the data storage advantages of edge network devices and cloud storage servers, we build a global blockchain in the cloud service layer and local blockchain is built on the terminals of the Internet of things. Moreover, the regeneration coding is utilized to further improve the reliability of data storage in blockchains. 3) Our scheme provides a mechanism for periodically validating hash values of data to ensure the integrity of data stored in global blockchain.

Lixia Xie, Ying Ding, Hongyu Yang, Xinmu Wang

The modern intelligent transportation system brings not only new opportunities for vehicular Internet of Things (IoT) services but also new challenges for vehicular ad-hoc networks (VANETs). Apart from enhanced network performance, a practical and reliable security scheme is needed to handle the trust management while preserving user privacy at the same time. The emerging 5G mobile communication system is viewed as a prominent technology for ultra-reliable, low-latency wireless communication services. Furthermore, incorporating software-defined network (SDN) architecture into the 5G-VANET enables global information gathering and network control. Hence, real-time IoT services on transportation monitoring and reporting can be well supported. Both pave the way for an innovative vehicular security scheme. This paper investigates the security and privacy issue in the transportation system and the vehicular IoT environment in SDN-enabled 5G-VANET. Due to the decentralized and immutable characteristics of blockchain, a blockchain-based security framework is designed to support the vehicular IoT services, i.e., real-time cloud-based video report and trust management on vehicular messages. This paper explicitly illustrates the SDN-enabled 5G-VANET model and the scheduling procedures of the blockchain-based framework. The numerical simulation results also show that malicious vehicular nodes or messages can be well detected while the overhead and impact on the network performance are acceptable for large-scale scenarios. Through case studies and theoretical analysis, we demonstrate our design substantially guarantees a secure and trustworthy vehicular IoT environment with user privacy preserved.

Hye-Young Paik, Xiwei Xu, H. M. N. Dilum Bandara, Sung Une Lee · 5 authors

In a blockchain-based system, data and the consensus-based process of recording and updating them over distributed nodes are central to enabling the trustless multi-party transactions. Thus, properly understanding what and how the data are stored and manipulated ultimately determines the degree of utility, performance, and cost of a blockchain-based application. While blockchains enhance the quality of the data by providing a transparent, immutable, and consistent data store, the technology also brings new challenges from a data management perspective. In this paper, we analyse blockchains from the viewpoint of a developer to highlight important concepts and considerations when incorporating a blockchain into a larger software system as a data store. The work aims to increase the level of understanding of blockchain technology as a data store and to promote a methodical approach in applying it to large software systems. First, we identify the common architectural layers of a typical software system with data stores and conceptualise each layer in blockchain terms. Second, we examine the placement and flow of data in blockchain-based applications. Third, we explore data administration aspects for blockchains, especially as a distributed data store. Fourth, we discuss the analytics of blockchain data and trustable data analytics enabled by blockchain. Lastly, we examine the data governance issues in blockchains in terms of privacy and quality assurance.

Ayushi Sharma, Shashwat Tiwari, Nitin Arora, S. C. Sharma

Blockchain is an emerging technology that can radically improve transactions security at banking, supply chain, and other transaction networks. It's estimated that Blockchain will generate $3.1 trillion in new business value by 2030. Essentially, it provides the basis for a dynamic distributed ledger that can be applied to save time when recording transactions between parties, remove costs associated with intermediaries, and reduce risks of fraud and tampering. This book explores the fundamentals and applications of Blockchain technology. Readers will learn about the decentralized peer-to-peer network, distributed ledger, and the trust model that defines Blockchain technology. They will also be introduced to the basic components of Blockchain (transaction, block, block header, and the chain), its operations (hashing, verification, validation, and consensus model), underlying algorithms, and essentials of trust (hard fork and soft fork). Private and public Blockchain networks similar to Bitcoin and Ethereum will be introduced, as will concepts of Smart Contracts, Proof of Work and Proof of Stack, and cryptocurrency including Facebook's Libra will be elucidated. Also, the book will address the relationship between Blockchain technology, Internet of Things (IoT), Artificial Intelligence (AI), Cybersecurity, Digital Transformation and Quantum Computing. Readers will understand the inner workings and applications of this disruptive technology and its potential impact on all aspects of the business world and society. A look at the future trends of Blockchain Technology will be presented in the book.

Hongru Yu, Haiyang Sun, Danyi Wu, Tsung-Ting Kuo

Blockchain and smart contracts (i.e., computer code that can be run on blockchain) are increasingly popular for healthcare applications. However, only very few implementations exist because of the complexity of the technologies. Although there are tutorials and reviews to introduce blockchain and smart contracts, a pragmatic comparison of such platforms is needed. In this study, we addressed practical considerations while building a healthcare blockchain and smart contract system, by (1) comparing technical features of platforms, (2) selecting three platforms, (3) constructing blockchain networks, (4) testing the blockchains, and (5) summarizing the experience and time used for implementation by students. We evaluated Ethereum, Hyperledger Fabric, and MultiChain, and confirmed that the selection of a proper platform depends on the requirements of the application. The findings of our study can accelerate the process and reduce the risk of adopting blockchain technology in biomedical and healthcare domain.

Yuna Jiang, Yi Zhong, Xiaohu Ge

The evolution of Industrial Internet of things (IIoT) boosts the amount of IIoT data. Machine learning promotes the progress of data analytics services. In order to facilitate the flow and explore the economic value of IIoT data, it is crucial to consider data packet transactions (DPTs) and data analytics service transactions (DASTs) simultaneously. Centralized data trading platforms emerge to realize transactions of data commodities. However, centralized platforms lack trust and robustness. How to realize DPTs and DASTs in a decentralized way is a challenging issue. In this paper, a new transaction solution based on the smart contract-enabled blockchain technology is proposed, which consists of the DPT smart contract and DAST smart contract. The DPT smart contract is implemented to trade data packets. The DAST smart contract provides a competitive way to trade data analytics services. Both smart contracts are designed to enable entities in IIoT to execute DPTs and DASTs automatically and honestly. Moreover, the transaction disputes between different IIoT entities are solved by the big data center off-chain, and the treatment results will be recorded on the blockchain by the big data center. The DPT smart contract and DAST smart contract are implemented and tested on Remix integrated development environment to achieve DPTs and DASTs. The gas costs of smart contracts are estimated and the security of the proposed solution is analyzed. The performance analysis demonstrates that the proposed solution is secure and feasible.

Konstantin Mironov, Sergey Trishin, Amir Makhmutov, Vadim Kartak · 5 authors

In this article we consider tasks related to ensuring the integrity and availability of information in the Internet of Things (IoT) sphere. Such systems include sensors and similar devices, which are the sources of data, access points, which transmit data from sensors to the Internet and servers, which store received data and grant access to users. When storing data on a server and providing access to it, it is necessary to ensure its integrity and availability to users. To this end, it is proposed to apply a distributed ledger technology (DLT). One of the applications of DLT for data protection is energetics. Here we consider a system for processing and storing data on the production and consumption of electricity in a decentralized power grid. A review of currently existing projects related to the use of distributed ledger technologies in the energy sector is carried out. An important obstacle to the use of DLT in the IoT is the contradiction between, on the one hand, high memory computational requirements of the DLT, and, on the other hand, limited resources of IoT nodes. Further research directions are proposed that are associated with overcoming this obstacle in applying distributed ledger technologies in the energetics.

Jennifer Li, Mohamad Kassem

Applications and uses cases of distributed ledger technology (DLT) are increasingly attracting interest in the construction industry. However, DLT in construction is still considered a nascent field of research and practical applications of DLT in construction are at the very early readiness stages. This paper builds on a previously developed socio-technical systems framework for DLT in construction (i.e. Li et al., 2019) built on four dimensions of technical, process, policy and social, and proposes a roadmap to achieving readiness for macro adoption of DLT in the construction industry. First, the paper reviews existing readiness and adoption models and technology roadmaps for new technological innovations in the context of DLT highlighting their strengths and detailing why they are not suitable for DLT. Then, drawing on experience of existing models as a basis, it proposes a four-stage roadmap to readiness for adoption of DLT in the construction industry. The four-stage DLT Roadmap incorporates Conceptualisation, Appraisal, Preparation and Implementation. This roadmap is intended to provide the industry with a comprehensive framework to support adoption and diffusion of DLT for specific use cases. Future work will involve proposal of guidelines for each of the four dimensions across the four-stage DLT Roadmap and testing through workshop-identified use cases of DLT in construction.

Sara Rouhani, Ralph Deters

Blockchain is the promising technology of recent years, which has attracted remarkable attention in both academic studies and practical industrial applications. The smart contract is a programmable transaction that can perform a sophisticated task, execute automatically, and store on the blockchain. The smart contract is the key component of the blockchain, which has made blockchain a technology beyond the scope of the cryptocurrencies and applicable for a variety of applications such as healthcare, IoT, supply chain, digital identity, business process management, and more. Although in recent years the progress toward improving blockchain technology with the focus on the smart contract has been impressive, there is a lack of reviewing the smart contract topic. This paper systematically reviews the key concepts and proposes the direction of recent studies and developments regarding the smart contract. The research studies are presented in three main categories: 1) security methods and tools; 2) performance improvement approaches; and 3) decentralized applications based on smart contracts.

Mazin Debe, Khaled Salah, Muhammad Habib ur Rehman, Davor Svetinović

Public fog nodes extend cloud services for the Internet of Things (IoT) clients and smart devices to provide additional computation capabilities, storage space, and reduce latency and response time. The openness and pervasiveness of public fog nodes leads to the requirement of using trust models to ensure reliability, security, privacy, and meet the service-level agreements (SLAs). Conventional trust models for public fog nodes are centrally configured, deployed, and maintained considering security, privacy, and SLA requirements. However, these trust models enforce centralized governance policies across the system which leads towards the single-point-of-failure and single-point-of-compromise over IoT devices' and users' personal data. This paper proposes a decentralized trust model in order to maintain the reputation of publicly available fog nodes. The reputation is maintained considering users' opinions about their past interactions with the public fog nodes. The proposed trust model is designed using public Ethereum blockchain and smart contract technologies in order to enable decentralized trustworthy service provisioning between IoT devices and public fog nodes. The proposed approach is tested and evaluated in terms of security, performance, and cost. The results show that using blockchain for decentralized reputation management could become more advantageous when compared to the existing centralized trust models.

Caixiang Fan

Distributed ledgers provide many advantages over centralized solutions in IoT projects including but not limited to improved security, transparency and fault tolerance. However, in order to leverage them at scale, their well-known limitations, i.e., scalability and performance, should be adequately addressed. DAG-based distributed ledgers have been proposed to tackle the performance and scalability issues by design. The first among them, IOTA, has shown promising signs in terms of scalability and performability. In this thesis, we first conduct a comprehensive literature review on both distributed ledger technology applications in IoT and the performance evaluation of such decentralized systems. Then we present a detailed technical overview of IOTA, following a contractive review of different DAG-based distributed ledger technologies. Next, we propose a scalable transactive smart homes infrastructure by leveraging IOTA protocol and following the separation of concerns (SOC) design principle. Based on the proposed solution, an experiment with 40 home nodes is conducted to prove the concept at large scale in a cloud environment. The results show that our solution provides a high transaction speed and scalability, as well as good performance on micropayment which is important in IoT initiatives. We conduct an analysis and discuss how the new system breaks out the Blockchain Trilemma, which claims that it is almost impossible for a blockchain platform to simultaneously reach decentralization, scalability and security. Based on our findings on scalability and performance, we conclude that the proposed DAG-based distributed ledger is an effective solution for building an IoT infrastructure for smart communities, in which local residents can freely and securely transfer values. Finally, we rigorously study the performance of the ledger to examine its applicability for IoT projects in which a high throughput is required. More specifically, we investigate the IOTA system to answer two key research questions: 1) what is the confirmation rate in the system given the design parameters and 2) what will be the optimal waiting time for a user to resend its previously submitted but not yet confirmed transaction to the ledger? In order to answer these vital questions, we perform real experimentation, simulation and analytical modeling. Our findings reveal the impact of arrival rate of transactions, consensus algorithm, randomness of the weighted random walk for tip selection and network delay on the confirmation rate. By decomposing the transaction confirmations in each graph layer, we build an analytical layered model. Thanks to the analytical modeling, we shed some light on the distribution of confirmation process, which is leveraged to calculate the optimal time for resending the unconfirmed transaction to the distributed ledger. Our performance model can be used by IoT project designers to perform what-if analysis and capacity planning in advance of the real deployments, with high level of accuracy.

Ali Shahaab, B. Lidgey, Chaminda Hewage, Imtiaz Khan

Advancement of consensus protocols in recent years has enabled distributed ledger technologies (DLTs) to find its application and value in sectors beyond cryptocurrencies. Here we reviewed 66 known consensus protocols and classified them into philosophical and architectural categories, also providing a visual representation. As a case study, we focus on the public sector and highlighted potential protocols. We have also listed these protocols against basic features and sector preference in a tabular format to facilitate selection. We argue that no protocol is a silver bullet, therefore should be selected carefully, considering the sector requirements and environment.

Marietheres Dietz, Benedikt Putz, Günther Pernul

No abstract is available for this record.

Hany F. Atlam, Gary Wills

No abstract is available for this record.

Mohammad Jabed Morshed Chowdhury, Md Sadek Ferdous, Kamanashis Biswas, Niaz Chowdhury · 7 authors

Distributed Ledger Technology (DLT) has emerged as one of the most disruptive technologies in the last decade. It promises to change the way people do their business, track their products, and manage their personal data. Though the concept of DLT was first implemented in 2009 as Bitcoin, it has gained significant attention only in the past few years. During this time, different DLT enthusiasts and commercial companies have proposed and developed several DLT platforms. These platforms are usually categorized as public vs private, general purpose vs application specific and so on. As a growing number of people are interested to build DLT applications, it is important to understand their underlying architecture and capabilities in order to determine which DLT platform should be leveraged for a specific DLT application. In addition, the platforms need to be evaluated and critically analyzed to assess their applicability, resiliency and sustainability in the long run. In this paper, we have surveyed several leading DLT platforms and evaluated their capabilities based on a number of quantitative and qualitative criteria. The comparative analysis presented in this paper will help the DLT developers and architects to choose the best platform as per their requirement(s).

Tiago M. Fernández‐Caramés, Paula Fraga‐Lamas

Industry 4.0 is a concept devised for improving the way modern factories operate through the use of some of the latest technologies, like the ones used for creating the Industrial Internet of Things (IIoT), robotics, or Big Data applications. One of such technologies is blockchain, which is able to add trust, security, and decentralization to different industrial fields. This article focuses on analyzing the benefits and challenges that arise when using blockchain and smart contracts to develop Industry 4.0 applications. In addition, this paper presents a thorough review of the most relevant blockchain-based applications for Industry 4.0 technologies. Thus, its aim is to provide a detailed guide for the future Industry 4.0 developers that allows for determining how the blockchain can enhance the next generation of cybersecure industrial applications.