【Author】 Bonaparte, Yosef
【影响因子】9.848
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】We present a theoretical and empirical methodology reflects the Cryptocurrency version of VIX capturing the future 30-day forward Crypto risk. Our framework is built on the asymptotic distribution theory that utilizes the idiosyncratic and systematic Crypto risk and is not based on the option implied volatility model, that developed by the CBOE for the S&P Volatility Index VIX. For back testing, our CVIX projected with accuracy of over 89% the 30 days forward Crypto realized volatility. Our framework is superior to the option based VIX due to the fact that the option market does not represents all the stock market.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Crypto currency; Bitcoin; Asymptotic theory; Cryptocurrency VIX; CVIX
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实证数据
【影响因子】8.235
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】Previous literature shows that major cryptocurrencies exhibit inverse asymmetric volatility: positive shocks increase price volatility more than negative ones. In this study, we revisit the asymmetric volatility dynamics of major cryptocurrencies using asymmetric GARCH models that incorporate endogenously detected structural breaks. Our results show that after incorporating structural breaks, volatility persistence decreases and asymmetric volatility increases for all cryptocurrencies in this study. Thus, prior research that ignores structural breaks underestimates the impact of unexpected news on price volatility in cryptocurrency markets. We also present important economic implications of our results: ignoring structural breaks adversely affects the hedging strategies, derivatives valuations, and risk exposure measurement of investors in cryptocurrency markets.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrencies; Asymmetric volatility; Volatility persistence; Structural breaks
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
CCF-B
【影响因子】8.233
【主题类别】
区块链应用-实体经济-审计领域
【Abstract】Crowdfunding is an act of raising funds from the public to support an individual or organizational project, and the success of crowdfunding projects lies in gaining backers' trust. In practice, however, crowdfunding platforms are rife with fraudulent crowdfunding projects. While some crowdfunding platforms use third-party auditors to verify projects before publishing, this also runs the risk of collusion between crowdfunders and auditors. The recent introduction of blockchain has increased the transparency of crowdfunding, but they, too, lack fraud prevention measures. Obviously, existing crowdfunding trust management schemes are not applicable under a zero-trust scenario. In this study, we propose a blockchain-based trust management mechanism for crowdfunding to address the fraudulent behavior in the existing crowdfunding systems. We introduce an auditor committee to audit crowdfunding projects credibly. A random selection algorithm on the blockchain enables the distributed generation of auditor committees with a trade-off between the randomness of selection and auditor expertise. The audit results are based on independent auditing by the audit committee members and are presented by the smart contract, avoiding the influence of third parties. In addition, we also provide an incentive mechanism to encourage auditors who perform accurate audits. Theoretical analyses and experiments show that our scheme can effectively deal with malicious behaviors and has an acceptable overhead.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Fraudulent crowdfunding; Blockchain; Trust management; Audit
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【Author】 Liu, Tianyi Li, Diansheng
【影响因子】7.180
【主题类别】
区块链应用-实体经济-物流领域
【Abstract】Cross-docking is a logistics operation in which goods are sorted and reloaded without entering a warehouse. It can significantly shorten the transportation time of goods, improve the efficiency of goods turnover, and reduce inventory backlogs and operational risks. Therefore, it has received considerable attention and has widespread applications. However, in the current operational mode of logistics centers, it is difficult to synchronize the transportation of goods from suppliers to logistics centers and the replenishment transportation from logistics centers to convenience stores, resulting in a low cross-docking utilization rate. In this study, blockchain tech-nology was used to address the problem of low cross-docking. We proposed a new mode of cross-docking implementation to promote large-scale applications. We designed the application of smart contracts, which is the key technology of this mode. We implemented it by establishing a bilevel programming model for negotiation transactions between suppliers and convenience stores and a queuing model for cross-docking operation scheduling. Additionally, we proposed an improvement scheme for particle swarm optimization (PSO) algorithm of the solving model to improve computational accuracy. Finally, we used the simulation data to obtain a feasible price range of cross-docking operation in the new mode by analyzing its impact on the transaction status, utility of all participants, and status of cross-docking operations.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cross-docking; Blockchain technology; Bilevel programming
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实验仿真
【影响因子】6.793
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】How does stablecoin design affect market behavior during turbulent periods? Stablecoins attempt to maintain a "stable" peg to the US dollar, but do so with widely varying structural designs. The spectacular collapse of the TerraUSD (UST) stablecoin and the linked Terra (LUNA) token in May 2022 precipitated a series of reactions across major stablecoins, with some experiencing a fall in value and others gaining value. Using a Baba, Engle, Kraft and Kroner (1990) (BEKK) model, we examine the reaction to this exogenous shock and find significant contagion effects from the UST collapse, likely partially due to herding behavior among traders. We test the varying reactions among stablecoins and find that stablecoin design differences affect the direction, magnitude, and duration of the response to shocks. We discuss the implications for stablecoin developers, exchanges, traders, and regulators.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Stablecoins; Herding; Information cascades; Volatility spillovers; Market crashes; Financial contagion
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实验仿真
【影响因子】6.143
【主题类别】
区块链应用-虚拟经济-NFT
【Abstract】This study investigates the risk and returns on one of the newest digital asset classes instruments, non-fungible tokens (NFTs), by accounting for tail dependence of higher-order moments and portfolio characteristics. We used a wide range of asset classes, encompassing equites, fixed in- come securities, and commodities, and document the desirable hedging and portfolio attributes of NFTs by employing Conditional Value-at-Risk (CoVaR) and Delta CoVaRs with various copula func- tions. We found that NFTs exhibit beneficial investment and hedging attributes under all market conditions, including the Covid-19 pandemic. Our findings have important implications for in- vestors, risk managers, and regulators.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Non-Fungible Tokens; CoVaR; Portfolio Choice; Systemic risk; Higher moments
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【影响因子】6.143
【主题类别】
区块链应用-虚拟经济-虚拟货币
【Abstract】This study analyzes the impact of economic policy uncertainty (EPU) on cryptocurrency returns for a sample of 100 highly capitalized cryptocurrencies from January 2016 to May 2021. The results of the panel data analysis and quantile regression show that increases in global EPU have a positive impact on cryptocurrency returns for lower cryptocurrency returns quantiles and an adverse impact for upper quantiles. In line with the existing literature, the Covid-19 pandemic resulted in higher returns for cryptocurrencies. Inclusion of a Covid-19 dummy in the models strengthened the impact of EPU on cryptocurrency returns. Furthermore, the relationship between the change in EPU and cryptocurrency returns was direct in the pre-Covid-19 period but inverse in the post-Covid-19 period. These results imply that cryptocurrencies act more like traditional financial assets in the post-Covid-19 era.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Economic policy uncertainty; Cryptocurrency; Quantile regression; Covid-19
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实证数据
CCF-C
【影响因子】5.047
【主题类别】
区块链应用-实体经济-工业领域
【Abstract】Modern technologies and data-driven approaches have enabled fault-tolerant controllers in Industry 4.0 smart factories to detect, identify, and mitigate anomalies in real-time with a high level of accuracy. However, this has also presented new challenges and requirements for cybersecurity, data analytics, and computational complexity for Data-Driven Fault-Tolerant Controllers (DD-FTC) in smart factories. To address these issues, a Blockchain-Based Data-Driven Fault-Tolerant Control (BB-DD-FTC) framework for smart factories is proposed in this paper. Blockchain ensures the integrity of data logs via its immutable ledger and decentralized architecture. Moreover, the blockchain smart contract functionality, embedded with a Data-Driven Intrusion Detection System (DD-IDS), and reconfiguration conditions, realizes DD-FTC and undertakes the mitigation response in case of cyber-attacks. The DD-IDS mechanism utilizes the principal component analysis technique and observer models, trained via neural networks, to detect an attack and identify the compromised component. The Tennessee Eastman (TE) industrial benchmark process is considered a case study to investigate the performance of the proposed framework. Two kinds of integrity attacks are applied to the sensors of the TE process with simulation results demonstrating the effectiveness of the method in mitigating the adversarial effect of the applied attacks on the overall system performance. As feedback delays can negatively impact performance, a detailed delay analysis is performed using network calculus. The security advantages and limitations of the proposed method are finally highlighted in the performed security analysis. The results are encouraging for the wider adoption of the control-over-the-blockchain concept.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Big data analytics; Fault-tolerant control; Industrial control systems; Smart factory; Industry 4; 0; Tennessee Eastman process
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实验仿真
【影响因子】5.033
【主题类别】
区块链技术-核心技术-可编辑区块链
【Abstract】While immutability is an important property of blockchain and can be utilized to build a credible data publishing platform, the same property can also be abused to disseminate illicit content and may violate requirements under the General Data Protection Regulation (GDPR) as well as other privacy regulations. Hence, there has been increased focus on designing redactable blockchain-based solutions, which is the focus of this survey article. Specifically, we survey the extant literature on redactable blockchain, and discuss the existing limitations and challenges prior to outlining a number of future research opportunities which hopefully will benefit the broader research and practitioner communities.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Bitcoin; Hash functions; Public key; Regulation; Technological innovation; General Data Protection Regulation; Chameleon hash function; GDPR; immutability; redactable blockchain
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 综述
【影响因子】4.996
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】Blockchain is a distributed technology that introduced the well known Bitcoin cryptocurrency into action. Blockchain has been considered for research by many countries and industries. It is being applied in many fields such as the healthcare domain. Many companies started using Blockchain to increase the security and privacy of the Electronic Healthcare Records for their patients. The work in this paper discusses some existing healthcare problems and challenges. In addition, the paper reviews some related work models and provides a comparison that shows their objectives and limitations. Also, a proposed Federated Blockchain System (FBS) is introduced to provide solutions for these healthcare problems and elaborates the technical details of the system architecture. Moreover, the effectiveness of the system has been validated which showed an average of 68-100 ms for performing query operations and average of 0.944-19.041 s for performing writing operations on the system. Finally, a discussion of the system validation and future work are presented.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实验仿真
【Author】 Tan, Xilong Tao, Yubo
【影响因子】3.875
【主题类别】
区块链应用-虚拟经济-虚拟货币
【Abstract】Cryptocurrencies are widely known for their limited publicly available information, making it challenging to predict market returns. Technical analysis has emerged as an essential tool in this context, but its effectiveness in the cryptocurrency market remains an open question. Using data from nearly 3,000 cryptocurrencies at daily, weekly, and monthly horizons from 2013 to 2022, we systematically re-examine the efficacy of trend -based technical indicators in predicting cryptocurrency market returns and find that price-based signals are more effective in predicting short-term horizons, while volume-based signals are more powerful in predicting long-term horizons. Further analysis shows that machine learning techniques can significantly improve the performance of technical indicators, and technical indicators based on different information respond differently to the COVID-19 outbreak. These results provide direct evidence that volume imparts information to technical analysis independently of price.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Return predictability; Technical analysis; Investment horizon; Machine learning; COVID-19
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实证数据
【影响因子】3.847
【主题类别】
区块链技术-核心技术-访问控制
【Abstract】The attention on blockchain technology (BCT) to create new forms of relational reliance has seen an explosion of new applications and initiatives, to assure decentralized security and trust. Its potential as a game-changing technology relates to how data gets distributed and replicated over several organizations and countries. This paper provides an introduction to BCT, as well as a review of its technological aspects. A concrete application of outsource access control and pricing procedures in cellular networks, based on a decentralized access control-as-a-service solution for private cellular networks, is also presented. The application can be used by service and content providers, to provide new business models. The proposed method removes the single point of failure from conventional centralized access control systems, increasing scalability while decreasing operational complexity, regarding access control and pricing procedures. Design and implementation details of the new method in a real-world scenario using a private cellular network and a BCT system that enables smart contracts are also provided.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain technology; distributed ledger; smart contract; access control; development; private cellular network
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【DOI】 10.3390/s23094224
【Author】 Aldweesh, Amjad
【影响因子】3.752
【主题类别】
区块链应用-实体经济-信息领域
【Abstract】As the use of digital subscription services like electronic tickets (E-ticketing) has grown in the age of e-commerce, so too have instances of copyright and violation. Because it is dependent on the centralized authority administration of authoritative institutions, the traditional E-ticketing system has a significant cost associated with it. Blockchain, which is a distributed system, has the characteristics of decentralization, anonymity, auditability, security, and persistency. These attributes allow it to address the problems that are currently being experienced by the E-ticketing system. In this study, we present a framework for E-ticketing that makes use of blockchain technology. The blockchain-based electronic ticketing model eliminates the involvement of third parties while also lowering the potential of data leaks and improving users' levels of privacy. This is accomplished by separating the credential information of users from the financial transactions. In the meanwhile, a blockchain implementation of the existing E-ticketing architecture has the potential to improve throughput, reduce the amount of redundant work, and boost the efficiency of consensus. An examination of the experimental data shows that the framework has a number of advantages, some of which are a high throughput, flexible scalability, and efficient ticket holding times.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【Author】 Zheng, Chuanqi Lee, Kiju
【影响因子】3.727
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】This paper presents an entropy-based consensus algorithm for a swarm of artificial agents with limited sensing, communication, and processing capabilities. Each agent is modeled as a probabilistic finite state machine with a preference for a finite number of options defined as a probability distribution. The most preferred option, called exhibited decision, determines the agent's state. The state transition is governed by internally updating this preference based on the states of neighboring agents and their entropy-based levels of certainty. Swarm agents continuously update their preferences by exchanging the exhibited decisions and the certainty values among the locally connected neighbors, leading to consensus towards an agreed-upon decision. The presented method is evaluated for its scalability over the swarm size and the number of options and its reliability under different conditions. Adopting classical best-of-N target selection scenarios, the algorithm is compared with three existing methods, the majority rule, frequency-based method, and k-unanimity method. The evaluation results show that the entropy-based method is reliable and efficient in these consensus problems.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Consensus algorithm; Swarm robotics; Distributed decision-making
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【影响因子】3.476
【主题类别】
区块链技术-协同技术-物联网
【Abstract】As resource-constrained Internet-of-Things (IoT) devices become popular targets of various malicious attacks, frequent updates to keep their software up to date are essential to their security. However, state-of-the-art software delivery and payment systems incorporate multiple services in a client-server structure requiring multiple transits of information between client and server, while also creating a wide attack surface. We propose a blockchain-based end-to-end secure software update delivery framework for Internet of Things (IoT) devices, which aims to ensure confidentiality, integrity, availability, efficiency, and audit-ability for verified software delivery, while offloading the cryptographic computation from resource-constrained IoT devices to a decentralized blockchain system. In particular, we leverage Ciphertext-Policy Attribute-Based Encryption (CP-ABE) and design a customized authorization policy to not only ensure that software updates can only be decrypted and installed on authorized IoT devices but also significantly reduce the computational overhead for key generation and key delivery on the manufacturer side. Furthermore, secure and atomic software delivery and payments between IoT devices and the manufacturer are assured through smart contracts. The authenticity of the delivered software is guaranteed by offloading the computation-based signature validation to smart contracts. Compliance audits are satisfied through immutable records on the blockchain's public ledger, and the smart contracts efficiently guarantee the delivery of software updates in exchange for payment. Security analysis and experiments are performed to compare the proposed framework with state-of-the-art studies and validate its effectiveness.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Software engineering; Internet of Things; Blockchains; Smart contracts; Computer security; Microprogramming; Performance evaluation; Blockchain; software update; secure software update; computer security; CP-ABE; smart contract
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【影响因子】2.838
【主题类别】
区块链应用-实体经济-军事领域
【Abstract】To address the new functional requirements brought by the introduction of new weapons and new combat modes, a comprehensive survey of the research progress in the area of combat simulation software is performed from the perspective of software engineering. First, the top-level specification, simulation engine, and simulation framework of combat simulation software are reviewed. Then, several typical combat simulation software systems are demonstrated, and the relevant software frameworks are analyzed. Finally, combining the application prospect of artificial intelligence, metaverse, and other new technologies in combat simulation, the development trends of combat simulation software are presented, namely intellectualization, adaptation to an LVC (live, virtual, and constructive) system, and a more game-based experience. Based on a comprehensive comparison between the mentioned simulation frameworks, we believe that the AFSIM (Advanced framework for simulation, integration, and modeling) and the E-CARGO (Environments-classes, agents, roles, groups, and objects) are appropriate candidates for developing distributed combat simulation software.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】combat simulation; software framework; top-level specification; simulation engine; LVC system
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 综述
【DOI】 10.3390/app13095571
【Author】 He, Feiyang Feng, Wenlong Zhang, Yu Liu, Jian
【影响因子】2.690
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】This study proposes an improved Byzantine fault-tolerant consensus RB-BFT based on the reputation model to address the problems of low reliability of primary nodes and high communication complexity in the practical Byzantine algorithm (PBFT). First, this algorithm establishes a dynamic reputation model of nodes to distinguish honest and malicious nodes in the system, lowering the likelihood of malicious nodes being chosen as primary nodes and increasing the dependability of primary nodes. Second, the algorithm introduces supervisory nodes for information supervision while reducing the centrality of the system. Finally, this algorithm improves the consistency protocol of the PBFT algorithm by optimizing the process of mutual communication between nodes in the preparation and commitment phases, which reduces the algorithm communication complexity from O(n(2)) to O(n). Theoretical and practical studies reveal that the RB-BFT algorithm enhances performance and reliability greatly.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; consensus algorithm; Byzantine fault tolerance; reputation model
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【Author】 Butler, Conall Crane, Martin
【影响因子】2.592
【主题类别】
区块链治理-市场治理-链上信息预测
【Abstract】Gas is the transaction-fee metering system of the Ethereum network. Users of the network are required to select a gas price for submission with their transaction, creating a risk of overpaying or delayed/unprocessed transactions involved in this selection. In this work, we investigate data in the aftermath of the London Hard Fork and shed insight into the transaction dynamics of the network after this major fork. As such, this paper provides an update on work previous to 2019 on the link between EthUSD/BitUSD and gas price. For forecasting, we compare a novel combination of machine learning methods such as Direct-Recursive Hybrid LSTM, CNN-LSTM, and Attention-LSTM. These are combined with wavelet threshold denoising and matrix profile data processing toward the forecasting of block minimum gas price, on a 5-min timescale, over multiple lookaheads. As the first application of the matrix profile being applied to gas price data and forecasting that we are aware of, this study demonstrates that matrix profile data can enhance attention-based models; however, given the hardware constraints, hybrid models outperformed attention and CNN-LSTM models. The wavelet coherence of inputs demonstrates correlation in multiple variables on a 1-day timescale, which is a deviation of base free from gas price. A Direct-Recursive Hybrid LSTM strategy is found to outperform other models, with an average RMSE of 26.08 and R-2 of 0.54 over a 50-min lookahead window compared to an RMSE of 26.78 and R-2 of 0.452 in the best-performing attention model. Hybrid models are shown to have favorable performance up to a 20-min lookahead with performance being comparable to attention models when forecasting 25-50-min ahead. Forecasts over a range of lookaheads allow users to make an informed decision on gas price selection and the optimal window to submit their transaction in without fear of their transaction being rejected. This, in turn, gives more detailed insight into gas price dynamics than existing recommenders, oracles and forecasting approaches, which provide simple heuristics or limited lookahead horizons.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Ethereum; gas; LSTM; CNN-LSTM; Direct-Recursive Hybrid; attention; wavelet denoising; wavelet coherence; matrix profile
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 实验仿真
【DOI】 10.3390/math11092212
【Author】 Deuflhard, Florian Heller, C-Philipp
【影响因子】1.176
【主题类别】
区块链技术-核心技术-挖矿策略
区块链技术-核心技术-挖矿策略
【Abstract】The development of blockchain-based applications, to date mostly virtual currencies, touches many areas of law and economics. The most well-known applications of public blockchains rely on Proof of Work as a consensus mechanism in which miners compete to solve a cryptographic puzzle. We argue that economic tools for market definition may be adapted to delineate relevant cryptocurrency mining markets. Antitrust law can help to prevent network attacks and exclusion of transactions with lower fees by large miners. When multiple blockchains are part of the same market, the role of network effects in securing the leading position of more established cryptocurrencies can potentially lead to exclusionary behaviour.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】JEL; L41; L86; D47; D71
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 观点阐述
【DOI】 10.1093/joclec/nhad006
【Author】 Shioda, Shigeo Kato, Dai
【影响因子】1.116
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】We study the distribution of the consensus formed by a broadcast-based consensus algorithm for cases in which the initial opinions of agents are random variables. We first derive two fundamental equations for the time evolution of the average opinion of agents. Using the derived equations, we then investigate the distribution of the consensus in the limit in which agents do not have any mutual trust, and show that the consensus without mutual trust among agents is in sharp contrast to the consensus with complete mutual trust in the statistical properties if the initial opinion of each agent is integrable. Next, we provide the formulation necessary to mathematically discuss the consensus in the limit in which the number of agents tends to infinity, and derive several results, including a central limit theorem concerning the consensus in this limit. Finally, we study the distribution of the consensus when the initial opinions of agents follow a stable distribution, and show that the consensus also follows a stable distribution in the limit in which the number of agents tends to infinity.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Stable distribution; central limit theorem; Cauchy; Gaussian; Levy
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【DOI】 10.1017/jpr.2023.9
【Author】 Kostoula, Theodora
【影响因子】0.646
【主题类别】
区块链治理-法律治理-区块链监管制度
【Abstract】How and when to determine the value of cryptoassets in insolvency proceedings? This question becomes more topical with the increasing adoption of volatile cryptoassets such as Bitcoin. As many of these assets do not have an 'apparent' value that may be readily ascertainable, it is not always clear how their value may be established. This presents significant challenges to their proper valuation in the context of insolvency proceedings and requires certain attention to efficiently confront the implications on the assessment of claims, the calculation of their value and the determination of the recoverable amount. Accordingly, this Article exposes the arising challenges and implications from an EU insolvency perspective, with the aim to trigger considerations for legislative interventions at EU level.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 综述
【DOI】 10.1002/iir.1490
【Author】 Sahin, Hadi Akkaya, Kemal Ganapati, Sukumar
【影响因子】
【主题类别】
区块链治理-市场治理-DAO
【Abstract】Blockchain technology that came with the introduction of Bitcoin offers many powerful use-cases while promising the establishment of distributed autonomous organizations (DAOs) that may transform our current understanding of client-server interactions on the cyberspace. They employ distributed consensus mechanisms that were subject to a lot of research in recent years. While most of such research focused on security and performance of consensus protocols, less attention was given to their incentive mechanisms which relate to a critical feature of blockchains. Unfortunately, while blockchains are advocating decentralized operations, they are not egalitarian due to existing incentive mechanisms. Many current consensus protocols inadvertently incentivize centralization of mining power and inequitable participation. This paper explores and evaluates alternative incentive mechanisms for a more decentralized and equitable participation. We first evaluate inequality in existing Proof of Stake (PoS) based incentive mechanisms, then we examine three alternatives in which rewards scheme is more partial to low-stakeholders. Through simulation, we show that two of our alternative mechanisms can reduce inequality and offer an attractive solution for sustainability of blockchain-based applications and DAOs.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Proof of Stake; consensus; incentives; inequality; reward distribution
【发表时间】2022
【收录时间】2023-06-05
【文献类型】 实验仿真
【影响因子】
【主题类别】
区块链技术-协同技术-雾计算
【Abstract】With the explosive growth of the internet of things (IoT) devices, there are amount of data requirements and computing tasks. Fog computing network that could provide computing, caching and communication resources closer to IoT devices (ID) is considered as a potential solution to deal with the vast computing tasks. To improve the performance of the fog computing network while ensuring data security, blockchain technology is enabled and a location-based reliable sharding (LRS) algorithm is proposed, which jointly considers the optimal number of shards, the geographical location of fog nodes (FNs), and the number of nodes in each shard. Firstly, the reliable sharding result is based on the reputation values of FNs, which are related to the decision information and historical reputation value of FNs in the consensus process. Moreover, a reputation based PBFT consensus algorithm is adopted to accelerate the consensus process. Furthermore, the normalized entropy is used to estimate the proportion of malicious nodes and optimize the number of shards. Finally, simulation results show the effectiveness of the proposed scheme.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; sharding; fog computing network; internet of things
【发表时间】2022
【收录时间】2023-06-05
【文献类型】 实验仿真
【影响因子】
【主题类别】
区块链技术-协同技术-VR/AR
【Abstract】Accurate localization and mapping is a key to applications such as Metaverse, Augmented Reality, and Autonomous Driving using positioning technology to determine their global position in consistent world coordinates. As the scene changes with time, map descriptors become outdated, affecting Visual Positioning System localization accuracy. Previous studies have primarily relied on direct comparison of point clouds for change detection, which is a slow process due to the need to build a new point cloud every time. Image-based comparison requires keeping the map images - a privacy issue and is sensitive to viewpoint differences. In this work, we propose a novel approach based on point-clouds descriptors comparison, which can detect structural and texture scene changes followed by the process of local map update. This approach is more robust under appearance changes, even in illumination differences, and more efficient for local map updates as it provides better localization accuracy and faster run times. The cumulative evidence approach eliminates the need for a dedicated mapping process. In addition, our work provides state-of-the-art performances for image-to-image change detection compared to previous research.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】AR/VR; Deep Learning; Map Update; Scene Change Detection; Visual Positioning System; 3D Point Cloud
【发表时间】2022
【收录时间】2023-06-05
【文献类型】 实验仿真
【影响因子】
【主题类别】
区块链技术-协同技术-6G
【Abstract】Undoubtedly, the world has so far faced a pandemic which is reshaping daily lives and business activities. Even at current endemic stages, special focus on maintaining physical distancing norms for curbing the expeditious spread of the disease, many institutions, individuals and industries rely on communications networks or telecoms for ensuring service consistency to avoid complete termination of their business operations and other activities. This has put enormous pressure on mobile networks and communication systems thereby making the technology experts to think more about introducing rapid speed, vast coverage and high connectivity networks. The extensive application of fresh communication networks and enabling technologies have impelled the advent of 6G communication networks. As 6G is still in its inception phase, its complete realization requires a proper and high understanding of diverse quantitative and qualitative factors supporting its deployment. From this standpoint, this survey article intends to deeply explore 6G networks, their significance and prerequisites. This paper provides a succinct theoretical background of 6G technology, and reviews the diverse enabling technologies and existing works undertaken on core technologies. It explores the prevailing gaps in research for providing readers to gain information regarding challenges in perfect 6G network realization and implementation thus paving the road for a successful 6G vision.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Artificial Intelligence; Blockchain; Metaverse; Internet of things; 6G Networks
【发表时间】2022
【收录时间】2023-06-05
【文献类型】 综述
【影响因子】
【主题类别】
区块链技术-协同技术-联邦学习
【Abstract】Despite the great potential of Federated Learning (FL) in large-scale distributed learning, the current system is still subject to several privacy issues due to the fact that local models trained by clients are exposed to the central server. Consequently, secure aggregation protocols for FL have been developed to conceal the local models from the server. However, we show that, by manipulating the client selection process, the server can circumvent the secure aggregation to learn the local models of a victim client, indicating that secure aggregation alone is inadequate for privacy protection. To tackle this issue, we leverage blockchain technology to propose a verifiable client selection protocol. Owing to the immutability and transparency of blockchain, our proposed protocol enforces a random selection of clients, making the server unable to control the selection process at its discretion. We present security proofs showing that our protocol is secure against this attack. Additionally, we conduct several experiments on an Ethereum-like blockchain to demonstrate the feasibility and practicality of our solution.
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】2023-06-05
【文献类型】 理论模型
【影响因子】
【主题类别】
区块链应用-实体经济-公共管理
【Abstract】Nowadays, a large population of hungry people still exists in many countries. The government body of most countries in theworld tries to provide food security to every citizen. They have implementedmany rules to provide food safety for citizens. They also run many Public Distribution Shops (PDS) to distribute food products and essential commodities at low prices. But existing systems face many challenges in terms of low accessibility like buying items from the same PDS, transaction transparency, PDS trust, centralized system, and much more. So, to overcome these limitations, a Blockchain-enabled trusted public distribution framework has been proposed using smart contracts. The design and development of smart contracts will not only provide food security but can deliver transparency in the system, which leads to building trust in the system. Therefore, the concerned authorities of the distribution system can build trust with each other efficiently and reliably. In the proposed framework, people can also buy commodities from different PDS creating high accessibility to the system. The proposed work also provides secure communication among authorities and transparency and security of the management data.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Smart contracts; Public distribution system; Food security; Decentralized PDS
【发表时间】2022
【收录时间】2023-06-05
【文献类型】 理论模型
【影响因子】
【主题类别】
区块链技术-协同技术-5G
【Abstract】This paper proposes a blockchain-based test framework for trusted Virtual Network Functions (VNFs) for 5G and B5G networks. In particular, the proposed framework comprises two types of blockchain viz., consortium and public and five different entities viz., developer, tester, reviewer, verifier, and badging authority. The consortium blockchain forms the first level, where initially, the digital fingerprints of the developed VNF and other relevant information are pushed by the five entities. Once a VNF successfully passes all the tests and verification, the required information of VNF life cycle are pushed from the consortium blockchain to the public blockchain, which is the second-level blockchain open to anyone. To ensure a scalable solution, we use distributed off-chain storage. Moreover, the use of smart contracts provides transparent functionality, code immutability, access control, and automation. To the best of our knowledge, this is the first test framework that proposes a combination of consortium blockchain, public blockchain, smart contracts, and distributed off-chain storage to address the security and trust issues in the existing centralized VNF life cycle.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】VNF; Blockchain; Smart Contract; IPFS; 5G
【发表时间】2023
【收录时间】2023-06-05
【文献类型】 理论模型
【作者】 王彦杰;闫浚玮;
【作者单位】新乡医学院;新乡医学院三全学院;
【文献来源】中国成人教育
【复合影响因子】
【综合影响因子】
【主题类别】
区块链应用-实体经济-教育领域
【摘要】“全人教育”引领了高等教育改革的一个重要方向,各高校在提高专业教育水平的同时,日益重视通识教育教学质量,积极研究通识教育的目标定位、课程体系、课程教材与教育教学评价等环节,并且利用现代科学技术成果探索解决问题的方式与方法;区块链独特的技术特征与优势正逐步得到全球各行业的认可,正逐步融入高等教育的相关领域,高校通识教育改革正在探索区块链的应用价值,新思维、新理念与新构想正不断涌现出来。
【关键词】高等教育;;全人教育;;区块链技术;;通识教育
【文献类型】 观点阐述
【发表时间】2023-06-05
【作者】 严宇珺;龚晓莺;
【作者单位】同济大学马克思主义学院;
【文献来源】学术交流
【复合影响因子】
【综合影响因子】
【主题类别】
区块链治理-市场治理-数字货币
【摘要】数字人民币是重塑支付新格局、释放数字经济活力、推动数字经济高质量发展、建设数字中国的重要载体。实行数字人民币是出于防范第三方支付带来的风险、打破非银行支付的双寡头垄断格局、维护国家货币发行权、抢占数字货币竞赛先机等现实需求,其发展充分把握了中国主权信用优势明显、移动支付市场规模壮大、信息科技蓬勃发展、国际贸易参与度高等时代机遇,其发展价值体现在弥合数字鸿沟、打破数据资源垄断、带动多元主体数字化发展、引领中国经济高质量发展、推进高水平对外开放等方面。未来,数字人民币将进一步推进普惠金融,助力乡村振兴;进一步提升消费“引力”,助力经济复苏;进一步赋能慈善捐赠,助力公益事业;进一步激发绿色金融价值,助力绿色发展;进一步融入实体经济,助力实体经济高质量发展;进一步扩大数字贸易,助力贸易强国建设。
【关键词】数字人民币;;现实需要;;时代机遇;;发展价值;;未来进路
【文献类型】 观点阐述
【发表时间】2023-06-05
【作者】 倪禾;张育;刘曦子;
【作者单位】浙江工商大学泰隆金融学院;南加利福尼亚大学马歇尔商学院;中国通信工业协会人工智能专业委员会;
【文献来源】银行家
【复合影响因子】
【综合影响因子】
【主题类别】
区块链治理-市场治理-数字货币
【摘要】数字人民币作为支撑数字经济发展的重要金融“新基建”,可在数字经济活动中为用户提供稳定、安全和便利的支付体验,满足人民群众多样化的支付需求,助力数字经济构建新发展格局。数字人民币是我国货币体系发展过程中的重大变革和人民币国际化的新机遇。党的二十大报告明确提出,要有序推进人民币国际化。伴随着中国综合经济实力的增强及贸易和金融对外开放的发展,数字人民币有望通过技术赋能完善跨境支付结算体系,
【关键词】人民币;合作与发展;
【文献类型】 观点阐述
【发表时间】2023-06-05
【作者】 赵梦琪;王桤伦;
【作者单位】中信银行资产负债部;
【文献来源】银行家
【复合影响因子】
【综合影响因子】
【主题类别】
区块链治理-市场治理-数字货币
【摘要】中国人民银行自2014年开始研究法定数字货币以来,相继确定了发行数字货币的战略目标,完成了数字人民币的初步研发,并在2019年底正式试点零售型数字人民币。2022年10月,人民银行数字货币研究所参建的多边央行数字货币桥(m-CBDC Bridge)项目取得积极进展,标志着数字人民币在批发领域的尝试拉开帷幕。批发型数字人民币一般用于央行与商业银行、商业银行之间及银行与其他机构之间的大额交易。本文试就批发型数字人民币的建设前景做简要分析。
【关键词】人民币;前景广阔;
【文献类型】 观点阐述
【发表时间】2023-06-05