【Author】 Centobelli, Piera Cerchione, Roberto Del Vecchio, Pasquale Oropallo, Eugenio Secundo, Giustina

【Source】INFORMATION & MANAGEMENT

【影响因子】10.328

【主题类别】

区块链应用-实体经济-供应链

【Abstract】Trust, traceability, and transparency emerge as critical factors in designing circular blockchain platforms in supply chains. To bridge the three circular supply chain reverse processes (i.e., recycle, redistribute, remanufacture) and the three factors affecting blockchain technologies (i.e., trust, traceability, transparency), this paper proposes the integrated Triple Retry framework for designing circular blockchain platforms. A circular blockchain platform was designed in a supply chain, including manufacturer, reverse logistics service provider, selection centre, recycling centre, and landfill. The results highlight blockchain's role as a technological capability for improving control in the movement of wastes and product return management activities.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Circular blockchain; Circular economy; Circular supply chain management; Distributed ledger; Platform design; Private and permissioned blockchain; Reverse logistics service providers (RLSPs); Smart contract

【发表时间】2022

【收录时间】2023-03-09

【文献类型】 理论模型

【DOI】 10.1016/j.im.2021.103508

【Author】 Arpaci, Ibrahim Bahari, Mahadi

【Source】COMPUTERS IN HUMAN BEHAVIOR

【影响因子】8.957

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】The present study investigated the role of six fundamental attributes of cybersecurity (i.e., authenticity, avail-ability, confidentiality, integrity, possession/control, and utility) in predicting the adoption of cryptocurrencies. The study developed a prediction model and evaluated this model using a complementary approach by inte-grating structural equation modeling (SEM) and a deep artificial neural network (ANN) model. The sample of the study consisted of 450 cryptocurrency users aged between 18 and 38. The SEM results showed that availability, integrity, utility, and possession/control significantly predict attitudes, which in turn significantly predict continuous intention to use cryptocurrencies. The paths specified in the structural model accounted for 24% and 85% of the variance in attitude and continuous intention, respectively. Furthermore, the prediction model was tested by using a deep ANN multi-layer perceptron (MLP) algorithm. The algorithm predicted the attitude with a mean accuracy of 60.59% and 66.82% for training and testing, respectively. The result indicated that the deep ANN performed better than SEM in predicting attitude. The complementary approach enabled the discovery of both nonlinear and linear relationships between the variables and thereby contributed to accurately predicting adoption behavior.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cybersecurity; Cryptocurrency; SEM; Deep ANN

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 实证数据

【DOI】 10.1016/j.chb.2023.107678

【Author】 Gad, Ahmed G. Mosa, Diana T. Abualigah, Laith Abohany, Amr A.

【Source】JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES

【影响因子】8.839

【主题类别】

区块链治理-元分析-领域分析

【Abstract】At present times, Blockchain technology is gaining more attraction with every passing day, as it has revolutionized the traditional trade due to its distributed ledger feature, every record in this ledger is secured by rules of cryptography which makes it more secure and tamper-free. This naturally led to the emergence of various types of cryptocurrency, such as Bitcoin, which builds on a technology commonly known as Blockchain. The rapid evolution of research on Blockchain calls for more research studies for investigating and analyzing the current knowledge in this field through a systematic technical study that shows the impact and significance of the related literature since the inception of the technology in 2013. From this point, in this paper, a state-of-the-art review is conducted on the most influential articles, conference papers, and review papers related to Blockchain published from 2013 to 2020 and indexed by the Web of Science Core CollectionTM (WoS) world's literature database. To attain the desired objective, after presenting an inevitable, brief overview of Blockchain technology, the collected papers have closely been analyzed along seven key research questions. Subsequently, vital valuable findings, such as the top 10 influential papers, yearly publications and citation trends, the favorite publication venues, the hottest research areas, and the most supportive funding bodies are reported, which may offer several implications about the status quo and emerging trends and frontiers of Blockchain, to guide towards establishing a baseline for both fresh and experienced researchers and practitioners before initiating a future research project on Blockchain. Furthermore, a rigorous discussion is provided on Blockchain application in diversified domains, along with different versatile use cases. Lastly, a brief insight is presented into open challenges and potential future advancements in the field of Blockchain. Summing up, this paper is meant to assist newbies in exploring and designing new Blockchain solutions, bearing in mind existing demands and challenges. (c) 2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Cryptocurrency; Consensus; Systematic review; Web of Science (WoS); Funding agencies; Blockchain applications; Open challenges; Future directions

【发表时间】2022

【收录时间】2023-03-09

【文献类型】 综述

【DOI】 10.1016/j.jksuci.2022.03.007

【Author】 Bazan-Palomino, Walter Svogun, Daniel

【Source】INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS

【影响因子】8.235

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】The cryptocurrency literature on technical analysis has largely ignored drivers of technical analysis return adjusted by transaction costs (i.e., adjusted returns). To that end, we propose a Heterogeneous Autoregressive Distributed Lag Model of Returns (HARDL-R) to examine the impact from EPU, VIX, and SP500 returns to adjusted returns. We provide evidence that these three drivers matter during bubble periods compared to non-bubble periods. When not differentiating bubble periods, we find that VIX is the only driver influencing the dynamics of adjusted returns from 2016 to 2021. These findings remain relatively stable after controlling for the volume of transactions.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Technical analysis; Cryptocurrency; Transaction costs; Asset bubbles

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 理论模型

【DOI】 10.1016/j.irfa.2023.102516

【Author】 Wang, Taochun Shen, Huimin Chen, Jian Chen, Fulong Wu, Qingshan Xie, Dong

【Source】FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

【影响因子】7.307

【主题类别】

区块链应用-实体经济-身份管理

【Abstract】With the continuous innovative development and popularization of mobile smart devices, the ap-plication of Mobile Crowd Sensing (MCS) continues to be studied extensively. However, existing centralized MCS applications that use servers for task publishing and data collection exhibit common problems, such as single points of failure and security vulnerabilities. Accordingly, we proposed a hybrid blockchain-based identity authentication scheme for MCS called HBIA, which uses blockchain technology to resolve the single-point failure problem. HBIA builds a cluster structure based on factors such as geographical location and balance, and uses it to construct a hybrid blockchain, with the cluster head node and internal cluster node authenticating on the public and private chains, respectively. We also implemented zero-knowledge proof (ZKP) to ensure the privacy of participants' identities, thus balancing the contradiction between blockchain transparency and security. In addition, HBIA uses the zero-knowledge succinct non-interactive argument of knowledge (zk-SNARK) technology to enable off -chain computing and on-chain verification, further reducing the blockchain's workload. Finally, HBIA was evaluated based on the pavement crack detection task and tested on the Ethereum public test network known as Ropsten. The test results indicate that the identity authentication scheme proposed in this paper is superior to existing schemes in terms of authentication time.(c) 2023 Elsevier B.V. All rights reserved.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Mobile Crowd Sensing; Zero-knowledge proof; Identity authentication

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 实验仿真

【DOI】 10.1016/j.future.2023.01.013

【Author】 Li, Chao Wang, Li Yang, Haijun

【Source】DECISION SUPPORT SYSTEMS CCF-C

【影响因子】6.969

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】The Proof-of-Stake (PoS) protocol is booming in blockchain networks because of excessive energy consumption and slow block generation associated with the Proof-of-Work (PoW) protocol. In terms of transaction settlement, does the PoS protocol perform better than PoW? We build a transaction settlement model based on the PoS blockchain, describing how the staking income and costs affect settlement performance, and put forward a Successful Settlement Factor (SSF) to determine whether the settlement will be successful given the block size and block time. In addition, the system developers can adjust block size and block time according to SSF to achieve the best settlement performance. Finally, using historical data for a real-world blockchain network, our model demonstrates that the optimal block time, average settlement time, average settlement fees, and total settlement lag of the PoS blockchain are 23.41%, 23.29%, 23.23%, 23.31%, respectively, less than that of the PoW blockchain.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Trading settlement; Proof -of -stake; Proof -of -work; Blockchain; staking

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 实证数据

【DOI】 10.1016/j.dss.2022.113909

【Author】 Wang, Xiaodi Liu, Youbo Ma, Ruiguang Su, Yunche Ma, Tiannan

【Source】INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

【影响因子】5.659

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】The blockchain enabled near-real-time, peer-to-peer energy trading market is one of the promising ways to enhance energy system flexibility, achieve peer privacy preserving and transaction trackability. However, providing blockchain-based solutions compatible with energy trading is not an easy task, where real-world feasibility for business model, blockchain configuration, and physic limitations is rather to be investigated. In this work, a permissioned Hyperledger Fabric (HF) blockchain is leveraged to implement real-world applications for energy trading in a smart community. A near-real-time bilateral trading scheme, directly negotiated on a peer-to-peer basis without any intermediary, is designed for achieving supply-demand balance within power network limits. Thenceforward, the specific process of the HF blockchain establishment and the smart contract creation for system initialization, registration, negotiation, trading, balancing and settlement, are detailed demonstrated. In addition, the benchmark is presented to test the performance metrics of execution time, latency, throughput for feasibility and scalability analyses in real-world application. The results illustrate the proposed HF-assisted energy trading platform corroborates the feasibility for the future scalable P2P trading.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Peer to Peer trading; Community market

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 实验仿真

【DOI】 10.1016/j.ijepes.2023.108997

【Author】 Dietrich, Fabian Louw, Louis Palm, Daniel

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链应用-实体经济-供应链

【Abstract】Supply chains have evolved into dynamic, interconnected supply networks, which increases the complexity of achieving end-to-end traceability of object flows and their experienced events. With its capability of ensuring a secure, transparent, and immutable environment without relying on a trusted third party, the emerging blockchain technology shows strong potential to enable end-to-end traceability in such complex multitiered supply networks. This paper aims to overcome the limitations of existing blockchain-based traceability architectures regarding their object-related event mapping ability, which involves mapping the creation and deletion of objects, their aggregation and disaggregation, transformation, and transaction, in one holistic architecture. Therefore, this paper proposes a novel 'blueprint-based' token concept, which allows clients to group tokens into different types, where tokens of the same type are non-fungible. Furthermore, blueprints can include minting conditions, which, for example, are necessary when mapping assembly processes. In addition, the token concept contains logic for reflecting all conducted object-related events in an integrated token history. Finally, for validation purposes, this article implements the architecture's components in code and proves its applicability based on the Ethereum blockchain. As a result, the proposed blockchain-based traceability architecture covers all object-related supply chain events and proves its general-purpose end-to-end traceability capabilities of object flows.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; tokenisation; object traceability; EPCIS events

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 实验仿真

【DOI】 10.3390/s23031410

【Author】 Elisa, Noe Yang, Longzhi Chao, Fei Naik, Nitin Boongoen, Tossapon

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-政务领域

【Abstract】Electronic Government (e-Government) systems constantly provide greater services to people, businesses, organisations, and societies by offering more information, opportunities, and platforms with the support of advances in information and communications technologies. This usually results in increased system complexity and sensitivity, necessitating stricter security and privacy-protection measures. The majority of the existing e-Government systems are centralised, making them vulnerable to privacy and security threats, in addition to suffering from a single point of failure. This study proposes a decentralised e-Government framework with integrated threat detection features to address the aforementioned challenges. In particular, the privacy and security of the proposed e-Government system are realised by the encryption, validation, and immutable mechanisms provided by Blockchain. The insider and external threats associated with blockchain transactions are minimised by the employment of an artificial immune system, which effectively protects the integrity of the Blockchain. The proposed e-Government system was validated and evaluated by using the framework of Ethereum Visualisations of Interactive, Blockchain, Extended Simulations (i.e. eVIBES simulator) with two publicly available datasets. The experimental results show the efficacy of the proposed framework in that it can mitigate insider and external threats in e-Government systems whilst simultaneously preserving the privacy of information.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】E-Government; blockchain; artificial immune system; insider threat; privacy-preserving

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 实验仿真

【DOI】 10.1109/ACCESS.2023.3239814

【Author】 Almeida, Dora Dionisio, Andreia Vieira, Isabel Ferreira, Paulo

【Source】ENTROPY

【影响因子】2.738

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】Cryptocurrencies are relatively new and innovative financial assets. They are a topic of interest to investors and academics due to their distinctive features. Whether financial or not, extraordinary events are one of the biggest challenges facing financial markets. The onset of the COVID-19 pandemic crisis, considered by some authors a "black swan", is one of these events. In this study, we assess integration and contagion in the cryptocurrency market in the COVID-19 pandemic context, using two entropy-based measures: mutual information and transfer entropy. Both methodologies reveal that cryptocurrencies exhibit mixed levels of integration before and after the onset of the pandemic. Cryptocurrencies displaying higher integration before the event experienced a decline in such link after the world became aware of the first cases of pneumonia in Wuhan city. In what concerns contagion, mutual information provided evidence of its presence solely for the Huobi Token, and the transfer entropy analysis pointed out Tether and Huobi Token as its main source. As both analyses indicate no contagion from the pandemic turmoil to these financial assets, cryptocurrencies may be good investment options in case of real global shocks, such as the one provoked by the COVID-19 outbreak.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】contagion; cryptocurrencies; integration; mutual information; transfer entropy

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 实证数据

【DOI】 10.3390/e25010098

【Author】 Mukherjee, Pratyusa Pradhan, Chittaranjan Tripathy, Hrudaya Kumar Gaber, Tarek

【Source】ELECTRONICS

【影响因子】2.690

【主题类别】

区块链技术-核心技术-加密算法

【Abstract】Today's digital world necessitates the adoption of encryption techniques to ensure secure peer-to-peer communication. The sole purpose of this paper is to conglomerate the fundamentals of Blockchain, AI (Artificial Intelligence) and DNA (Deoxyribonucleic Acid) encryption into one proposed scheme, KryptosChain, which is capable of providing a secure information exchange between a sender and his intended receiver. The scheme firstly suggests a DNA-based Huffman coding scheme, which alternatively allocates purines-Adenine (A) and Guanine (G), and pyrimidines-Thymine (T) and Cytosine (C) values, while following the complementary rule to higher and lower branches of the resultant Huffman tree. Inculcation of DNA concepts makes the Huffman coding scheme eight times stronger than the traditional counterpart based on binary-0 and 1 values. After the ciphertext is obtained, the proposed methodology next provides a Blockchain-inspired message exchange scheme that achieves all the principles of security and proves to be immune to common cryptographic attacks even without the deployment of any smart contract, or possessing any cryptocurrency or arriving at any consensus. Lastly, different classifiers were engaged to check the intrusion detection capability of KryptosChain on the NSL-KDD dataset and AI fundamentals. The detailed analysis of the proposed KryptosChain validates its capacity to fulfill its security goals and stands immune to cryptographic attacks. The intrusion possibility curbing concludes that the J84 classifier provides the highest accuracy of 95.84% among several others as discussed in the paper.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】information exchange; DNA encryption; blockchain technology; secure communication; intrusion detection system

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 理论模型

【DOI】 10.3390/electronics12030493

【Author】 Jadav, Dhairya Jadav, Nilesh Kumar Gupta, Rajesh Tanwar, Sudeep Alfarraj, Osama Tolba, Amr Raboaca, Maria Simona Marina, Verdes

【Source】MATHEMATICS

【影响因子】2.592

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Over the last few decades, the healthcare industry has continuously grown, with hundreds of thousands of patients obtaining treatment remotely using smart devices. Data security becomes a prime concern with such a massive increase in the number of patients. Numerous attacks on healthcare data have recently been identified that can put the patient's identity at stake. For example, the private data of millions of patients have been published online, posing a severe risk to patients' data privacy. However, with the advent of Industry 4.0, medical practitioners can digitally assess the patient's condition and administer prompt prescriptions. However, wearable devices are also vulnerable to numerous security threats, such as session hijacking, data manipulation, and spoofing attacks. Attackers can tamper with the patient's wearable device and relays the tampered data to the concerned doctor. This can put the patient's life at high risk. Since blockchain is a transparent and immutable decentralized system, it can be utilized for securely storing patient's wearable data. Artificial Intelligence (AI), on the other hand, utilizes different machine learning techniques to classify malicious data from an oncoming stream of patient's wearable data. An amalgamation of these two technologies would make the possibility of tampering the patient's data extremely difficult. To mitigate the aforementioned issues, this paper proposes a blockchain and AI-envisioned secure and trusted framework (HEART). Here, Long-Short Term Model (LSTM) is used to classify wearable devices as malicious or non-malicious. Then, we design a smart contract that allows only of those patients' data having a wearable device to be classified as non-malicious to the public blockchain network. This information is then accessible to all involved in the patient's care. We then evaluate the HEART's performance considering various evaluation metrics such as accuracy, recall, precision, scalability, and network latency. On the training and testing sets, the model achieves accuracies of 93% and 92.92%, respectively.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】AI; LSTM; smart contract; blockchain; cybersecurity; smart healthcare; wearable technology; deep learning

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 理论模型

【DOI】 10.3390/math11030637

【Author】 Masood, Faraz Faridi, Arman Rasool

【Source】JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

【影响因子】1.737

【主题类别】

区块链技术-核心技术-核心技术集

【Abstract】Blockchain technology is getting famous, and use cases of blockchain range from financial services to the Metaverse. It is considered a platform for web 3.0. As a result, many industries are planning to adopt blockchain. A simple public blockchain is not suitable for most business scenarios, so hybrid and private blockchains came into existence, but it is important to decide which type of blockchain should be adopted during the project planning phase. Various models can be found in the literature to determine if blockchain should be adopted and, if so, which type of blockchain should be adopted. However, these models are already becoming obsolete as they determine the usage of blockchain using simple yes or no. In order to overcome these problems, all these models are converted from binary-based selection to fuzzy-based selection, and decision matrices are created. Various multi-criteria decision analysis methods are applied, and final results are obtained. In addition, a novel model is presented, and a MATLAB application is developed to let the user determine if blockchain can be integrated with any technology or not. This application can be used as a standard in the projects planning phase and helps avoid losses to the industry.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; decision making; distributed ledger; SAW; TOPSIS

【发表时间】2023

【收录时间】2023-03-09

【文献类型】 理论模型

【DOI】 10.3233/JIFS-220830