Abstract In emerging markets, there are data quality problems. In this paper, we establish theoretical models to explore how data quality problems affect sustainable fashion supply chain operations. We start with the decentralized supply chain and find that poor data quality lowers supply chain profit and social welfare. We consider the implementation of blockchain to help and identify the situation in which blockchain helps enhance social welfare but brings harm to supply chain profitability. We propose a government sponsor scheme as well as an environment taxation waiving scheme to help. We further extend the study to the centralized supply chain setting.
The blooming trend of smart grid deployment is engaged by the evolution of the network technology, as the connected environment offers various alternatives for electrical data collections. Having diverse data sharing/transfer means is deemed an important aspect in enabling intelligent controls/governance in smart grid. However, security and privacy concerns also are introduced while flexible communication services are provided, such as energy depletion and infrastructure mapping attacks. This paper proposes a model permissioned blockchain edge model for smart grid network (PBEM-SGN) to address the two significant issues in smart grid, privacy protections, and energy security, by means of combining blockchain and edge computing techniques. We use group signatures and covert channel authorization techniques to guarantee users’ validity. An optimal security-aware strategy is constructed by smart contracts running on the blockchain. Our experiments have evaluated the effectiveness of the proposed approach.
Bhabendu Kumar Mohanta, Debasish Jena, Soumyashree S. Panda
et al.
Abstract Blockchain Technology has received a lot of attention from both industry and academia due to its decentralized, persistency, anonymity and auditability properties. In this survey, use of Blockchain technology in wide applications area and its implementation challenges have been done. A rigorous search for journal/research article related to Blockchain technology have been reviewed. We have considered five databases to conduct this survey namely Sciencedirect, IEEE Xplore, Web of Science, ACM Digital Library and Inderscience are being used. After initial phase elimination 135 research articles are considered in final databases for the survey. Main focus of the survey is to provide a comprehensive analysis on wide applications of Blockchain technology for the academic research community. In this paper challenges in implementing of Blockchian and its associated security and privacy issues have been discussed. For the first time a survey of this type have been done where Blockchain with application and its associated security and privacy issue have been reviewed.
Jorge Bernal Bernabé, José Luis Cánovas, J. L. Hernández-Ramos
et al.
Blockchains offer a decentralized, immutable and verifiable ledger that can record transactions of digital assets, provoking a radical change in several innovative scenarios, such as smart cities, eHealth or eGovernment. However, blockchains are subject to different scalability, security and potential privacy issues, such as transaction linkability, crypto-keys management (e.g. recovery), on-chain data privacy, or compliance with privacy regulations (e.g. GDPR). To deal with these challenges, novel privacy-preserving solutions for blockchain based on crypto-privacy techniques are emerging to empower users with mechanisms to become anonymous and take control of their personal data during their digital transactions of any kind in the ledger, following a Self-Sovereign Identity (SSI) model. In this sense, this paper performs a systematic review of the current state of the art on privacy-preserving research solutions and mechanisms in blockchain, as well as the main associated privacy challenges in this promising and disrupting technology. The survey covers privacy techniques in public and permissionless blockchains, e.g. Bitcoin and Ethereum, as well as privacy-preserving research proposals and solutions in permissioned and private blockchains. Diverse blockchain scenarios are analyzed, encompassing, eGovernment, eHealth, cryptocurrencies, Smart cities, and Cooperative ITS.
Abstract In a global marketplace, customers are often unaware of the exact sources of the products they purchase and consume. To address this lack of awareness, blockchain technology can be implemented in supply chains to increase customers’ knowledge of products’ provenance. Provenance knowledge—information about products’ origin, production, modifications, and custody—enables customers to be assured of their purchasing decisions. This assurance comes from information on the origin, authenticity, custody, and integrity of the product that helps reduce risk perceptions. We develop a provenance knowledge framework and show how its application can enhance assurances and reduce perceived risks via the application of blockchain. We present a guide on how to implement blockchain to establish provenance knowledge and close with a kind warning on the importance of demonstrating the value of blockchain to customers.
Abstract Blockchain, the technology underlying bitcoin, is an emerging financial technology (FinTech) that is poised to have strategic impacts on organizations. Because it is a new phenomenon, there are few studies on blockchain, and those studies have focused mainly on the technology’s potential impacts, whereas how to effectively implement it in an organization remains unknown. Our study intends to fill that gap. Using affordance-actualization (A-A) theory as the theoretical lens, we conducted a case study of blockchain implementation in an organization that has effectively implemented it. We identify three affordances of blockchain in the organization and a process model whereby these affordances are actualized. The process model extends A-A theory by adding an experimentation phase where blockchain’s use cases within the organization are identified, developed and tested through conceptual adaptation and constraint mitigation. Our study makes important theoretical contributions to the literature on A-A theory, blockchain, information technology (IT) implementation, and strategic information systems (SIS). Our study can also help IT practitioners to implement blockchain effectively and extract value from their investment.
In recent years, Blockchain has attracted tremendous attention due to its salient features including auditability, immutability, security, and anonymity. Resulting from these salient features, blockchain has been applied in multiple non-monetary applications including the Internet of Things (IoT). However, blockchain is computationally expensive, has limited scalability and incurs significant bandwidth overheads and delays which are not suited for most IoT applications. In this paper, we propose a Lightweight Scalable blockchain (LSB) that is optimized for IoT requirements while also providing end-to-end security. Our blockchain instantiation achieves decentralization by forming an overlay network where high resource devices jointly manage the blockchain. The overlay is organized as distinct clusters to reduce overheads and the cluster heads are responsible for managing the public blockchain. We propose a Distributed Time-based Consensus algorithm (DTC) which reduces the mining processing overhead and delay. Distributed trust approach is employed by the cluster heads to progressively reduce the processing overhead for verifying new blocks. LSB incorporates a Distributed Throughput Management (DTM) algorithm which ensures that the blockchain throughput does not significantly deviate from the cumulative transaction load in the network. We explore our approach in a smart home setting as a representative example for broader IoT applications. Qualitative arguments demonstrate that our approach is resilient to several security attacks. Extensive simulations show that packet overhead and delay are decreased and blockchain scalability is increased compared to relevant baselines.
Abstract Blockchain technology holds immense potential for industries and services by executing transactions in a verifiable and permanent way. It operates as an open distributed ledger that can record transactions between two parties. However, the adoption and implementation of blockchain technologies in various industries and services is a challenging task. In this study, we develop a framework for investigating barriers to the adoption and successful implementation of blockchains across different industries and services, using DEMATEL technique. We identify these barriers with the help of extant literature and experts’ opinions and further classify them into ten broad categories. Then, we establish the causal relationships among those barriers and rank them based on their degree of prominence and relationships. We find that challenges in scalability and market-based risks are the most influencing barriers. Whereas high sustainability costs and poor economic behavior are the most influenced barriers during successful blockchain adoption. Finally, we perform a series of sensitivity analysis to test the robustness and generalizability of our proposed framework. Findings from our study will be beneficial for managers and help to eliminate the major barriers in the efficient implementation of blockchain technologies in their organizations.
Offloading computation-intensive tasks (e.g., blockchain consensus processes and data processing tasks) to the edge/cloud is a promising solution for blockchain-empowered mobile edge computing. However, the traditional offloading approaches (e.g., auction-based and game-theory approaches) fail to adjust the policy according to the changing environment and cannot achieve long-term performance. Moreover, the existing deep reinforcement learning-based offloading approaches suffer from the slow convergence caused by high-dimensional action space. In this paper, we propose a new model-free deep reinforcement learning-based online computation offloading approach for blockchain-empowered mobile edge computing in which both mining tasks and data processing tasks are considered. First, we formulate the online offloading problem as a Markov decision process by considering both the blockchain mining tasks and data processing tasks. Then, to maximize long-term offloading performance, we leverage deep reinforcement learning to accommodate highly dynamic environments and address the computational complexity. Furthermore, we introduce an adaptive genetic algorithm into the exploration of deep reinforcement learning to effectively avoid useless exploration and speed up the convergence without reducing performance. Finally, our experimental results demonstrate that our algorithm can converge quickly and outperform three benchmark policies.
Blockchain is a distributed and decentralized ledger for recording transactions. It is maintained and shared among the participating nodes by utilizing cryptographic primitives. A consensus protocol ensures that all nodes agree on a unique order in which records are appended. However, current blockchain solutions are facing scalability issues. Many methods, such as Off-chain and Directed Acyclic Graph (DAG) solutions, have been proposed to address the issue. However, they have inherent drawbacks, e.g., forming parasite chains. Performance, such as throughput and latency, is also important to a blockchain system. Sharding has emerged as a good candidate that can overcome both the scalability and performance problems in blockchain. To date, there is no systematic work that analyzes the sharding protocols. To bridge this gap, this paper provides a systematic and comprehensive review on blockchain sharding techniques. We first present a general design flow of sharding protocols and then discuss key design challenges. For each challenge, we analyze and compare the techniques in state-of-the-art solutions. Finally, we discuss several potential research directions in blockchain sharding.
The potential of blockchain has been extensively discussed in the literature and media mainly in finance and payment industry. One relatively recent trend is at the enterprise-level, where blockchain serves as the infrastructure for internet security and immutability. Emerging application domains include Industry 4.0 and Industrial Internet of Things (IIoT). Therefore, in this paper, we comprehensively review existing blockchain applications in Industry 4.0 and IIoT settings. Specifically, we present the current research trends in each of the related industrial sectors, as well as successful commercial implementations of blockchain in these relevant sectors. We also discuss industry-specific challenges for the implementation of blockchain in each sector. Further, we present currently open issues in the adoption of the blockchain technology in Industry 4.0 and discuss newer application areas. We hope that our findings pave the way for empowering and facilitating research in this domain, and assist decision-makers in their blockchain adoption and investment in Industry 4.0 and IIoT space.
R. Shrestha, Rojeena Bajracharya, A. P. Shrestha
et al.
Abstract In the Vehicular Ad-hoc NETworks (VANET), the collection and dissemination of life-threatening traffic event information by vehicles are of utmost importance. However, the traditional VANETs face several security issues. We propose a new type of blockchain to resolve critical message dissemination issues in the VANET. We create a local blockchain for real-world event message exchange among vehicles within the boundary of a country, which is a new type of blockchain suitable for the VANET. We present a public blockchain that stores the node trustworthiness and message trustworthiness in a distributed ledger that is appropriate for secure message dissemination.
Stanly Wilson, Kwabena Adu-Duodu, Yinhao Li
et al.
Trust between entities in any scenario without a trusted third party is very difficult, and trust is exactly what blockchain aims to bring into the digital world with its basic features. Many applications are moving to blockchain adoption, enabling users to work in a trustworthy manner. The early generations of blockchain have a problem; they cannot share information with other blockchains. As more and more entities move their applications to the blockchain, they generate large volumes of data, and as applications have become more complex, sharing information between different blockchains has become a necessity. This has led to the research and development of interoperable solutions allowing blockchains to connect together. This paper discusses a few blockchain platforms that provide interoperable solutions, emphasising their ability to connect heterogeneous blockchains. It also discusses a case study scenario to illustrate the importance and benefits of using interoperable solutions. We also present a few topics that need to be solved in the realm of interoperability.
The introduction of information and communication technologies in the legal domain has enabled the automation of some activities in the legal profession. With the advent of blockchain and smart contracts, new tools have emerged for lawyers and their clients, enhancing transparency and increasing trust compared to traditional legal instruments. Once deployed, smart contracts should be able to respond to various events that can occur during the contract’s lifecycle. However, this kind of automation in smart contracts requires them to embed necessary legal knowledge and implement support for legal reasoning. In this paper, we propose a legal reasoning method for smart contracts that incorporates defeasible logic, a key requirement for automated reasoning in the legal domain. The entire reasoning process in our approach is performed on the blockchain infrastructure, making the drawing of conclusions fully transparent and accessible to all interested parties. To demonstrate our concept, we illustrate how certain rights prescribed under labour law can be embedded within a smart contract and deployed on the blockchain as a legal reasoning service. Then, we show how an employment contract can use the reasoning contract to automatically apply legal norms to infer conclusions and determine legal consequences in particular cases. We analyse the benefits and potential issues of this method and discuss directions for future work. Optimisation of the reasoning engine is one of the challenges we identified that needs to be tackled in future.
Through a systematic review of publications in reputed peer-reviewed journals, this paper investigates the role of blockchain technology in sustainable supply chain management. It uses the What, Who, Where, When, How, and Why (5W+1H) pattern to formulate research objectives and questions. The review considers publications since 2015, and it includes 187 papers published in 2017, 2018, 2019, and the early part of 2020, since no significant publications were found in the year 2015 or 2016 on this subject. It proposes a reusable classification framework—emerging technology literature classification level (ETLCL) framework—based on grounded theory and the technology readiness level for conducting literature reviews in various focus areas of an emerging technology. Subsequently, the study uses ETLCL to classify the literature on our focus area. The results show traceability and transparency as the key benefits of applying blockchain technology. They also indicate a heightened interest in blockchain-based information systems for sustainable supply chain management starting since 2017. This paper offers invaluable insights for managers and leaders who envision sustainability as an essential component of their business. The findings demonstrate the disruptive power and role of blockchain-based information systems. Given the relative novelty of the topic and its scattered literature, the paper helps practitioners examining its various aspects by directing them to the right information sources.
Performance contracts used for servitized business models enable consideration of overall life-cycle costs rather than just production costs. However, practical implementation of performance contracts has been limited due to challenges with performance evaluation, accountability, and financial concepts. As a solution, this paper proposes the connection of the digital building twin with blockchain-based smart contracts to execute performance-based digital payments. First, we conceptualize a technical architecture to connect blockchain to digital building twins. The digital building twin stores and evaluates performance data in real-time while the blockchain ensures transparency and trusted execution of automatic performance evaluation and rewards through smart contracts. Next, we demonstrate the feasibility of both the concept and technical architecture by integrating the Ethereum blockchain with digital building models and sensors via the Siemens building twin platform. The resulting prototype is the first full-stack implementation of a performance-based smart contract in the built environment.
Abstract The blockchain is essentially a shared database, and the data stored is unforgeable, open and transparent, which may allow the retailers adopting the blockchain technology to attract more consumers by making product information more transparent, while it also leads to the risk of consumers privacy leakage due to storing the corresponding consumers’ personal information. In order to study the impact of blockchain technology on competitive retailers’ strategic pricing, we establish a retailer competition model including an initial retailer and an entrant retailer both of whom can decide whether to apply the blockchain technology. We obtain the optimal prices and corresponding profits of the two retailers when applying and not applying blockchain, respectively, and find that consumer privacy concerns decline both retailers’ prices and profits when adopting blockchain technology because consumer privacy concerns lower consumers’ valuations of products, thereby reducing demand. Furthermore, we analyze the two retailers’ equilibrium strategies of the application of blockchain technology, which suggest that it is not always beneficial for retailers to adopt blockchain technology in all situations. Both retailers will apply blockchain only when consumer privacy concerns are lower and information transparency promotion is higher because higher information transparency promotion increases consumers’ willingness to pay, which exceeds the cost of consumers privacy concerns. On the contrary, when consumer privacy concerns are higher and information transparency promotion is lower, neither retailer will apply blockchain technology. Interestingly, when both consumer privacy concerns and information transparency promotion are medium, the initial retail will apply blockchain technology and the entrant retailer will not because consumers’ higher trust in initial retailers allows the initial retailer can bear higher cost of consumers privacy concerns which is hard to undertake for the new entrant retailer when information transparency promotion is medium.
Blockchain has emerged as an important concept at the interface of ICT and higher education. It is a system in which a record of transactions is maintained across several computers that are linked in a peer-to-peer network. Hence, it allows the creation of a decentralized environment, where data are not under the control of any third-party organization. This study presents a Systematic Bibliometric Literature Review (LRSB in further text) of research on blockchain applications in the higher education field. The review integrated 37 articles presenting up-to-date knowledge on current implications pertaining to the use of blockchain technology for improving higher education processes. The LRSB findings indicate that blockchain is being used to build up new interventions to improve the prevailing ways of sharing, delivering and securing knowledge data and personal student records. The application of blockchain technology is carrying on a conceptual progress in the higher education sector where it has added substantial value by ameliorated efficiency, effectiveness, privacy control, technological improvement and security of data management mechanisms. Challenges posed by current literature and further research directions are suggested.