【Author】 Stoll, Christian Gallersdoerfer, Ulrich Klaassen, Lena

【Source】JOULE

【影响因子】46.048

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 观点阐述

【DOI】 10.1016/j.joule.2022.10.013

【Author】 Qin, Hongwu Cheng, Yuntao Ma, Xiuqin Li, Fei Abawajy, Jemal

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

【影响因子】8.839

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】In blockchain, the consensus algorithm is a core component that governs the trust among the participants in the blockchain activities. However, the exiting consensus algorithms suffer from performance bottle-neck such as low throughput, high delay, unstable performance, sustainability issues and vulnerability to targeted attacks. In this paper, we propose a new consortium blockchain consensus algorithm, referred to as Weighted Byzantine Fault Tolerance (WBFT) consensus algorithm that improves system throughput and consensus delay. We introduce a dynamic weighting mechanism for consensus nodes, which enhances the security of blockchain system by weakening the influence of malicious nodes and reduces the probability of malicious behavior. We validate the performance of WBFT experimentally and compare it against Practical Byzantine Fault Tolerance (PBFT) and Reputation-Based Byzantine Fault-Tolerance (RBFT) based approaches. The results show that WBFT substantially outperforms PBFT and RBFT in terms of system throughput, consensus delay and security.(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; Consensus Algorithm; Consortium Blockchain; PBFT; Weighted Byzantine Fault Tolerance

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 实验仿真

【DOI】 10.1016/j.jksuci.2022.08.017

【Author】 Zhu, Xuehong Niu, Zibo Zhang, Hongwei Huang, Jiaxin Zuo, Xuguang

【Source】RESOURCES POLICY

【影响因子】8.222

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】The COVID-19 pandemic has led to extensive news coverage, causing investor sentiment to swing, which has further increased financial market price volatility. There is an increasing need to find a hedge against sentiment risk. This paper examines the hedge capabilities of gold and Bitcoin against COVID-19-related news sentiment (CNS) risk under a nonlinear autoregressive distributed lag (NARDL) model. Our empirical results reveal that there is an obvious asymmetric effect from the CNS on gold prices in the short run and that the decrease in the COVID-19-related news index would have a greater impact on gold prices than when it increases. The impact of CNS on Bitcoin prices is asymmetric in the long and short term, especially in the long term. In addition, we conclude that gold is a hedge against CNS risk in the long term, and the hedging effect of Bitcoin is mainly reflected in the short-term.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Gold; Bitcoin; NARDL model; COVID-19 news; Hedge

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 实证数据

【DOI】 10.1016/j.resourpol.2022.103098

【Author】 Bhanja, Niyati Shah, Adil Ahmad Dar, Arif Billah

【Source】RESOURCES POLICY

【影响因子】8.222

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】This study evaluates the portfolio diversification potential of different classes of assets-equity, cryptocurrency and precious metals-using total, asymmetric and frequency-based spillover transmission framework. The VARbased generalized variance decomposition method is used to analyse the daily prices of S&P 500, bitcoin, gold, silver and platinum between April 2011 through January 2021. The results of aggregate spillover support bitcoin as a potential diversifier due to its isolation from other sets of assets. The decomposition of overall spillover into downside and upside spillover reveals a higher downside connectedness than the upside, suggesting an asymmetric interdependence amongst these markets. Moreover, the frequency based aggregate spillovers suggest the connectedness is driven mostly by the shorter time-horizons. The study provides important policy implications for market participants with distinct investment objectives.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Precious metals; Equity; COVID-19; Spillover asymmetry; Bitcoin

【发表时间】2023

【收录时间】2023-03-01

【文献类型】 实证数据

【DOI】 10.1016/j.resourpol.2022.103145

【Author】 BenSaida, Ahmed

【Source】FINANCIAL INNOVATION

【影响因子】6.793

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】This study investigates the connectedness between Bitcoin and fiat currencies in two groups of countries: the developed G7 and the emerging BRICS. The methodology adopts the regular (R)-vine copula and compares it with two benchmark models: the multivariate t copula and the dynamic conditional correlation (DCC) GARCH model. Moreover, this study examines whether the Bitcoin meltdown of 2013, selloff of 2018, COVID-19 pandemic, 2021 crash, and the Russia-Ukraine conflict impact the linkage with conventional currencies. The results indicate that for both currency baskets, R-vine beats the benchmark models. Hence, the dependence is better modeled by providing sufficient information on the shock transmission path. Furthermore, the cross-market linkage slightly increases during the Bitcoin crashes, and reaches significant levels during the 2021 and 2022 crises, which may indicate the end of market isolation of the virtual currency.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency; Fiat currency; Bitcoin crashes; Market integration

【发表时间】2023

【收录时间】2023-03-01

【文献类型】 实验仿真

【DOI】 10.1186/s40854-023-00454-w

【Author】 Xu, Zheng Liu, Chaofan Zhang, Peng Lu, Tun Gu, Ning

【Source】DIGITAL COMMUNICATIONS AND NETWORKS

【影响因子】6.348

【主题类别】

区块链应用-虚拟经济-Web3

【Abstract】The 5G mobile Internet facilitates contents generation for online communities and platforms through human-to-human collaboration. Wikipedia, a well-known online community, uses wiki technology to build an encyclopedia through collective intelligence and collaboration. Mainstream wiki systems adopt a centralized implementation, and while existing studies have optimized the efficiency of the wiki systems' centralized implementation, these systems still suffer from a lot of problems, for example, opacity and distrust. Over the years, blockchain has brought a flurry of fervour and decentralization to the system architecture, meanwhile giving users a sense of trust and participation. Thus, an innovative blockchain-enabled wiki framework called DecWiki is proposed to build one transparent, truthful, collaborative and autonomous encyclopedia. After several participatory design itera-tions, we present DecWiki's detailed architecture and its implementation in the form of a smart contract and use the interplanetary file system to complement the big data storage. Meanwhile, we use the trusted execution environment to secure sensitive information in the wireless scenario. Finally, the system overhead and the acceptance of the prototype are evaluated. Extensive experiments present its significant performance.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Wiki; Participatory design; Trusted execution environment; Smart contract

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 实验仿真

【DOI】 10.1016/j.dcan.2022.09.011

【Author】 Hajek, Petr Hikkerova, Lubica Sahut, Jean -Michel

【Source】RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE

【影响因子】6.143

【主题类别】

区块链治理-市场治理-价格预测

【Abstract】Investor sentiment is widely recognized as the major determinant of cryptocurrency prices. Although earlier research has revealed the influence of investor sentiment on cryptocurrency prices, it has not yet generated cohesive empirical findings on an important question: How effective is investor sentiment in predicting cryptocurrency prices? To address this gap, we propose a novel prediction model based on the Bitcoin Misery Index, using trading data for cryptocurrency rather than judgments from individuals who are not Bitcoin investors, as well as bagged support vector regression (BSVR), to forecast Bitcoin prices. The empirical analysis is performed for the period between March 2018 and May 2022. The results of this study suggest that the addition of the sentiment index enhances the predictive performance of BSVR signifi-cantly. Moreover, the proposed prediction system, enhanced with an automatic feature selection component, outperforms state-of-the-art methods for predicting cryptocurrency for the next 30 days.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Bitcoin; Price; Cryptocurrency; Sentiment; Prediction; Feature selection; Support vector regression

【发表时间】2023

【收录时间】2023-03-01

【文献类型】 实证数据

【DOI】 10.1016/j.ribaf.2022.101836

【Author】 Moon, Jiyoung Jeong, Minho Oh, Sangmin Laine, Teemu H. Seo, Jungryul

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链应用-虚拟经济-VR

【Abstract】Virtual Reality (VR) has been adopted as a leading technology for the metaverse, yet most previous VR systems provide one-size-fits-all experiences to users. Context-awareness in VR enables personalized experiences in the metaverse, such as improved embodiment and deeper integration of the real world and virtual worlds. Personalization requires context data from diverse sources. We proposed a reusable and extensible context data collection framework, ManySense VR, which unifies data collection from diverse sources for VR applications. ManySense VR was implemented in Unity based on extensible context data managers collecting data from data sources such as an eye tracker, electroencephalogram, pulse, respiration, galvanic skin response, facial tracker, and Open Weather Map. We used ManySense VR to build a context-aware embodiment VR scene where the user's avatar is synchronized with their bodily actions. The performance evaluation of ManySense VR showed good performance in processor usage, frame rate, and memory footprint. Additionally, we conducted a qualitative formative evaluation by interviewing five developers (two males and three females; mean age: 22) after they used and extended ManySense VR. The participants expressed advantages (e.g., ease-of-use, learnability, familiarity, quickness, and extensibility), disadvantages (e.g., inconvenient/error-prone data query method and lack of diversity in callback methods), future application ideas, and improvement suggestions that indicate potential and can guide future development. In conclusion, ManySense VR is an efficient tool for researchers and developers to easily integrate context data into their Unity-based VR applications for the metaverse.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Virtual Reality; Unity; context data collection; framework; embodiment; context-awareness; metaverse; formative evaluation

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 实验仿真

【DOI】 10.3390/s22124623

【Author】 Hoang, Lai T. Baur, Dirk G.

【Source】JOURNAL OF BANKING & FINANCE

【影响因子】3.539

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】This study highlights a special feature of cryptocurrency trading and offers information about investor behavior that cannot be observed in traditional financial markets. We find that investors prefer holding bit-coin off exchanges in private wallets and primarily use exchanges to trade. Consequently, bitcoin exchange reserve changes resulting from the movement of bitcoin between private wallets and exchange accounts are negatively related to contemporaneous and future bitcoin returns. Specifically, the transfer of bitcoin on exchanges implies increased selling pressure and the transfer off exchanges implies decreased selling pressure. In turn, flows onto exchanges are triggered by large negative shocks and increased volatility. (c) 2022 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; Bitcoin; Exchange reserves; Price pressure; On-chain transactions; Off-chain transactions

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 观点阐述

【DOI】 10.1016/j.jbankfin.2022.106622

【Author】 Yao, Qing Xu, Kaiwen Li, Taotao Zhou, Yichao Wang, Mingsheng

【Source】WIRELESS NETWORKS CCF-C

【影响因子】2.701

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Criminal forensics in an Internet-of-Things (IoT) environment often requires complex investigations because IoT devices usually generate a large amount of electronic data, especially image data, which brings great difficulties to traditional digital forensic methods. Therefore, designing a secure management solution for image data and making it to be image evidence available in court is a new challenge. In this paper, we present a new secure image evidence management framework based on multi-bits digital watermarking and blockchain. In this framework, we first propose a flexible and robust self-learning based watermark embedding algorithm, which can embed both image marks and binary messages into the latent space of the input images and also improve the resistance of a broad range of attacks (geometric transform, JPEG, noise, etc.) to the watermarked images. And then, we design a smart contract resided in blockchain, which can achieve safe storage and automatically authentication of embedded watermarks. The experimental results on both watermarking algorithm and smart contracts have demonstrated the feasibility and efficacy of the proposed framework.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Image evidence management; Blockchain; Digital watermarking; Self-supervised learning; Smart contract; Internet-of-Things environments

【发表时间】

【收录时间】2023-03-01

【文献类型】 实验仿真

【DOI】 10.1007/s11276-023-03229-4

【Author】 Devi, Anju Kumar, Amit Rathee, Geetanjali Saini, Hemraj

【Source】MULTIMEDIA TOOLS AND APPLICATIONS CCF-C

【影响因子】2.577

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The Industrial IoT is starting an enormous advancement occasion in the industrial epoch. Data security as well as privacy becomes a challenge in almost every field in the real life for the duration of monitoring and collection of data in Industrial Internet of Things (IIoT) applications. The security and privacy of data in IIoT depends on the user's reliability that can be obtained by using the user authentication scheme otherwise unable to secure the IIoT applications data. Many authors have proposed the user authentication schemes in industrial internet of things who suffer from some hindrances such as data security, throughput, single point of failure, storage problem and latency (due to which increases the eavesdropping attacks chances). Therefore, to eliminate the above security issues, this paper proposes a new hybrid authentication approach instead of that also increases the throughput of IIoT applications, reduces the latency as well as enhances the accuracy of IIoT users. To create smart contracts of user authentication approaches by using the PKI and ECC algorithms, whereas it helps to achieve the privacy preservation. Instead of that, ECC that constructs the trustworthy user authentication blockchain scheme which enhance the privacy further as well as helps to maintain the number of keys along, every time keys are updated continuously. Moreover, we implement the proposed approach on the Ethereum blockchain and put all the data through smart contract on the decentralized IPFS cloud server which is transparent, secure, traceable, and storage utilization. Only authenticated users can interface with IIoT applications, even if someone tries to corrupt them, and then revoke the digital certificate from the user. It will be known from the performance of this paper that the proposed approach not only provides the privacy of the users but also obtains the high authentication accuracy, throughput and reduces the latency in comparison of existing approach.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】User authentication scheme; Ethereum blockchain; IPFS; Blockchain security; Authentication mechanism

【发表时间】

【收录时间】2023-03-01

【文献类型】 实验仿真

【DOI】 10.1007/s11042-022-14154-7

【Author】 Kshetri, Nir

【Source】COMPUTER

【影响因子】2.256

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】Diverse types of metaverses exist. We present a typology of metaverses to elaborate how different features and technologies are being incorporated in metaverse solutions that are targeted at different groups of users and the benefits they are looking for.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 观点阐述

【DOI】 10.1109/MC.2022.3204978

【Author】 Omura, Akihiro Cheung, Adrian (Wai Kong) Su, Jen Je

【Source】APPLIED ECONOMICS

【影响因子】1.916

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】While volatility spillover is a vital research area in financial economics (due to its importance for risk valuation and portfolio diversification strategies), the volatility linkage between Bitcoin and electricity/energy markets has not received adequate attention. As the Bitcoin mining cost comes mainly from electricity (which is highly dependent on natural gas), we hypothesize that natural gas is a non-trivial Bitcoin price volatility driver and aim to test if this is the case. Specifically, we employ a widely used model called the HAR-RV model to assess volatility spillover across Bitcoin and natural gas using high-frequency data. We find a spillover effect from natural gas to Bitcoin, and the positive (negative) component of natural gas volatility stabilizes (destabilizes) Bitcoin volatility. The spillover effect is further examined and confirmed using an out-of-sample approach.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Bitcoin; volatility; realized volatility; HAR; energy commodities

【发表时间】

【收录时间】2023-03-01

【文献类型】 实证数据

【DOI】 10.1080/00036846.2023.2168608

【Author】 Kolte, Ashutosh Pawar, Avinash Roy, Jewel Kumar Vida, Imre Vasa, Laszlo

【Source】ACTA POLYTECHNICA HUNGARICA

【影响因子】1.711

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】Cryptocurrency is the blockchain financial technology used for transactions in financial institutions and exchanges. Bitcoin has attracted much coverage from investors and commentators as it represents the maximum market capitalization on a crypto-currency exchange. The study aims to determine the correlation between the daily log-returns and to understand the tendencies in the cryptocurrency market instability of Bitcoin, Litecoin, XRP, Nxt, Dogecoin, Vertcoin, DigiByte, DASH, Counterparty, and MonaCoin. The correlation among the selected cryptocurrencies exists in the study. The analysis is focused primarily upon reference information from the preserved servers of cryptocurrency websites and finance.yahoo.com. This research assesses regular details on the Logarithmic return of Bitcoin, Litecoin, XRP, Nxt, Dogecoin, Vertcoin, DigiByte, DASH, Counterparty, and MonaCoin for a timeframe spanning from October 01st, 2014, to April 30th, 2020. From 131 cryptocurrencies, we considered only 10 Cryptocurrencies due to the availability of data after October 2014. Where there was insufficient information, there were average results determined from preceding and succeeding data. Findings demonstrate that there is GARCH modelling of cryptocurrencies against Bitcoin. Litecoin, XRP, Nxt, Dogecoin, Vertcoin, DigiByte, DASH, Counterparty, and MonaCoin; variability values throughout the duration had a significant effect on the updates from Bitcoin returns. We believe that it helps create information and resources that are valuable to practitioners and scholars who research and form cryptocurrency markets in the future.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Bitcoin; Counterparty; Cryptocurrency; Dash; DigiByte; Dogecoin; Litecoin; MonaCoin; Vertcoin; XRP

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 实证数据

【DOI】 10.12700/APH.19.5.2022.5.6

【Author】 Cooksey, Tommy

【Source】MANUFACTURING ENGINEERING

【影响因子】0.139

【主题类别】

区块链应用-虚拟经济-元宇宙

【Abstract】

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2023-03-01

【文献类型】 观点阐述

【DOI】

【Author】 Naifar, Nader Altamimi, Sohale

【Source】MANAGERIAL FINANCE

【影响因子】0.000

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】PurposeThis paper investigates the impact of global sentiment and various coronavirus disease 2019 (COVID-19)-related media coverage news (Media-Hype index; Panic Index; Media Coverage Index, infodemic index and coronavirus statistics) on the dynamics of bitcoin returns during the COVID-19 pandemic using an asymmetric framework.Design/methodology/approachThe authors use an asymmetric framework based on quantile regression (QR) and quantile-on-quantile regression.FindingsQR results show that COVID-19 panic news negatively affects bitcoin market returns at times of extreme bearish. However, COVID-19 bullish sentiment negatively impacts bitcoin market returns during bullish market conditions. Quantile-on-quantile approach's (QQA) empirical results show that the effects of COVID-19-related news on bitcoin returns were heterogeneous, mainly negative and varied across quantiles.Research limitations/implicationsThe authors find some significant differences regarding the impact of news on bitcoin return dynamics compared to stock markets, suggesting the safe-haven role of bitcoin against stock during the ongoing epidemic.Practical implicationsThe authors find some significant differences regarding the impact of news on bitcoin return dynamics compared to stock markets, suggesting the safe-haven role of bitcoin against stock during the ongoing epidemic.Originality/valueThis study contributes to understanding the dynamics of bitcoin returns using various COVID-19 media news.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Bitcoin; COVID-19 pandemic; Media coverage; Quantile-on-quantile approach; C41; G1; G15; G40

【发表时间】

【收录时间】2023-03-01

【文献类型】 实证数据

【DOI】 10.1108/MF-08-2022-0400

【Author】 Mathy, Gabriel

【Source】EASTERN ECONOMIC JOURNAL

【影响因子】0.000

【主题类别】

区块链技术-核心技术-挖矿策略

【Abstract】The process of mining Bitcoin consumes an enormous amount of electricity. This is an inherent feature of cryptocurrencies that are proof-of-work based. Instead, I propose an alternative algorithm for Bitcoin that would reduce the electricity usage on the order of trillions. Rather than adjusting the difficulty of Bitcoin mining upward when more miners are devoting computing power to mining, the returns to mining would be reduced downward. Rather than the current situation where Bitcoin's difficulty is in the trillions, the mining difficulty could be set to the theoretical minimum, one, reducing electricity usage proportionally.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; Environmental costs of cryptocurrencies; Microeconomic modeling

【发表时间】

【收录时间】2023-03-01

【文献类型】 理论模型

【DOI】 10.1057/s41302-023-00235-4