【Author】 Mosbey, Amy Delfabbro, Paul King, Daniel
【影响因子】11.555
【主题类别】
区块链治理-市场治理-赌博
【Abstract】This correlational study examines the most prevalent forms of harm associated with cryptocurrency speculation and the extent to which these are related to known risk factors including the fear-of-missing out (FOMO), impulsivity and problem gambling. A total of 487 crypto investors recruited from an online panel completed measures of crypto engagement, impulsivity, FOMO, problem gambling and the types of harm experienced that could be at least moderately be attributed to cryptocurrency. Individual-difference predictors of general participation were only weak predictors of the level of engagement in cryptocurrency. However, problem gambling scores (PGSI) and FOMO scores were reliable predictors of the level of harm reported, with the strongest model obtained for financial harm. The findings suggest the need to screen for speculative trading in gambling studies and that resistance to FOMO is an important element that would need to be targeted in clinical interventions for people experiencing harm.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Harm; Problem gambling; FOMO; Impulsivity
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实证数据
【Author】 Chen, Qiuying Choi, Beom-Jin Lee, Sang-Joon
【影响因子】10.972
【主题类别】
区块链应用-虚拟经济-NFT
【Abstract】This study navigates the intersection of luxury fashion brands and Non-Fungible Tokens (NFTs) in the digital realm. By examining customer segments within the luxury NFT market, this study unfolds insights into changing market trends, consumer behaviors, and brand strategies. Employing data mining approaches, XPath analysis and the k-means clustering algorithm, this study examines user characteristics and behavior on the OpenSea platform, the largest NFT marketplace, with a specific focus on the SUPERGUCCI NFT collection by Gucci. This study identifies three distinct clusters, namely, speculators, casual collectors, and cryptocurrency natives, as well as their characteristics and behavior. The findings illustrate the significant impact of NFTs on customer segmentation and engagement, offering strategic insights for luxury brands navigating technological advancements. As the luxury sector evolves, this study enhances understanding of NFTs' role in consumer engagement and retail strategy within the digital age.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Luxury brand; Non-fungible token (NFT); Web crawling; K-means cluster analysis; Customer segmentation
【发表时间】2025
【收录时间】2024-10-25
【文献类型】 实证数据
【Author】 Lashkaripour, Mohammadhossein
【影响因子】9.848
【主题类别】
区块链治理-市场治理-市场分析
区块链治理-市场治理-数字货币
【Abstract】Bitcoin halvings are associated with two potential phenomena: (1) they limit Bitcoin supply, potentially boosting prices, and (2) they reduce miners' revenue, which might undermine network security and lower prices. We explore Bitcoin's response to recent halvings in 2012, 2016, and 2020, aiming to identify the dominant effect. Our findings indicate that halvings slightly depress prices, increase transaction fees, decrease price volatility, and reduce miners' revenue. We document mixed reactions in other network metrics, such as the total transaction value. While Bitcoin trading dynamics markedly respond to halvings, the sensitivity of network characteristics to these events has diminished over time.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin halving; Miners' revenue; Transaction fee; Block reward; Network security
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 观点阐述
【Author】 Ding, Yi Pei, Zeyu Cao, Changxin
CCF-C
【影响因子】8.665
【主题类别】
区块链应用-实体经济-供应链
【Abstract】Applications of the blockchain technology are rapidly emerging across sectors. By redefining information flow, blockchain technology promises to instill trust among supply chain members, improve transaction efficiency, thus reshaping the structure and configuration of supply chains. The practical exploratory use of blockchain has shown immense potential in supply chain management. In order to explore the new changes brought by blockchain technology to supply chain network design issues, this study focuses on the supply chain network design problem in the context of blockchain technology. Specifically, we consider a supply chain network comprised of a number of distribution centers (DCs) and retailers. The operation of this physical network is supported by blockchain-based information infrastructure. As the interrelated relationship between these two networks, it is necessary to optimize them simultaneously to improve the profitability and information exchange level. We propose an objective function based on previous studies to maximize the profits of the entire supply chain network, with decision variables including DC locations, retailer assignment, inventory replenishment policy, and blockchain adoption level. At the same time, to characterize the interrelation between the two networks, the demand and certain cost parameters of the model become endogenous depending on the blockchain adoption level, which significantly increases the complexity of the solution algorithm. We reformulate the model and use the polymatroid cutting plane approach to address this issue. We conducted calculations and numerical analysis. The computational results show that the proposed method can solve practically sized problems, and integrating blockchain design reduces the system-wide cost. We discuss managerial insights based on a range of numerical studies and solve a case study using publicly available instance data.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Supply chain network design; Polymatroid cutting plane
【发表时间】2025
【收录时间】2024-10-25
【文献类型】 理论模型
【Author】 Anoop, C., V Negi, Neeraj Aprem, Anup
CCF-C
【影响因子】8.665
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】Identifying the structural dependence between the cryptocurrencies and predicting market trend are fundamental for effective portfolio management in cryptocurrency trading. In this paper, we present a unified Bayesian machine learning framework based on potential field theory and Gaussian Process to characterize the structural dependency of various cryptocurrencies, using historic price information. The following are our significant contributions: (i) Proposed a novel model for cryptocurrency price movements as a trajectory of a dynamical system governed by a time-varying non-linear potential field. (ii) Developed a Bayesian machine learning framework for inferring the non-linear potential function from observed cryptocurrency prices. (iii) Proposed that attractors and repellers inferred from the potential field are reliable cryptocurrency market indicators, surpassing existing attributes in the literature. (iv) Analysis of cryptocurrency market during various Bitcoin crash durations shows that attractors captured the market trend, volatility, and correlation. In addition, attractors aids explainability and visualization. (v) The proposed cryptocurrency market indicators (attractors and repellers) was used to improve the prediction performance of state-of-art deep learning price prediction models.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency market analysis; Structural dependency; Bayesian data analysis; Potential field method; Gaussian process; Uncertainty characterization
【发表时间】2025
【收录时间】2024-10-25
【文献类型】 理论模型
【Author】 Gaurav, Keshab Kumar Baranwal, Gaurav
【影响因子】7.180
【主题类别】
区块链应用-实体经济-智慧城市
【Abstract】With the rapid development of the world's infrastructure, we are moving towards making cities smart, known as smart cities. To make smart cities sustainable, designing efficient solutions is needed to reduce traffic congestion due to the lack of parking spaces within the constrained land areas of many metropolitan city centres. Parking problems in urban areas can be reduced by sharing vacant private parking spaces with others. In this work, we propose a decentralized and shared private parking management system using blockchain, which helps private parking owners and users fulfil their demands without the involvement of central authority. The proposed parking allocation method assigns parking to a single user from multiple parking providers, but the requester does not need to relocate between different parking spaces. The proposed method significantly improves private parking space utilization compared to a state-of-the-art parking allocation system. Hence, the system satisfies more user requests and generates more profit for parking owners than the state-of-the-art parking allocation system. The proposed system is a winning strategy because it maximizes the utilization of private parking spaces for the entire community's benefit and helps to reduce traffic congestion. Experiments conducted in the simulated environment validate the benefits of the proposed model and show that it outperforms the state-of-the-art parking allocation system. A prototype of the proposed system is also developed in the Ethereum blockchain to validate the work, and the gas cost used to deploy the proposed model is analyzed.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Smart parking; Shared parking; Blockchain; Ethereum; Parking space utilization
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实验仿真
CCF-B
【影响因子】5.493
【主题类别】
区块链技术-核心技术-身份验证
【Abstract】The cryptocurrency's permissionless and large-scale broadcasting requirements prohibit the traditional authentication implementation on the blockchain's underlying peer-to-peer (P2P) networking. Thus, blockchain networking implementations remain vulnerable to networking integrity threats such as spoofing or hijacking. We design Secure and Efficient Authentication using Linkage (SEAL) to build connection security for permissionless Bitcoin networking. SEAL uses the linkage between the packets for a symmetric operation, in contrast to the traditional authentication approach relying on identity-credential-based trust. To make it appropriate for cryptocurrency networking, SEAL utilizes the packet header, protects the end-to-end connection, and separates the online process and the offline process so that the real-time overhead is minimal for greater efficiency and practicality. We implement SEAL on a functioning Bitcoin node and demonstrate that SEAL operates efficiently with minimal overhead. Specifically, it reduces the hash rate by only 1.3% compared to an unsecured node. Additionally, we use a network simulator to emulate the Bitcoin Mainnet and analyze SEAL's impact on block propagation delay. SEAL yields 2.04 times smaller delay and 1.25 times smaller delay in block propagation than HMAC and ChaCha20-Poly1305, respectively. The key advantage of SEAL is that it requires fewer hash computations and simpler mixing operations, resulting in significantly lower computational overhead compared to traditional authentication schemes based on message authentication codes (MACs).
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin; Blockchain; Cryptocurrency; Permissionless; Distributed networking; Authentication; P2P networking
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实验仿真
CCF-B
【影响因子】5.493
【主题类别】
区块链治理-技术治理-地址分类
【Abstract】The popularity of ethereum for cryptocurrency transactions attracts malicious actors to engage in illegal activities like phishing, ponzi, and gambling. Previous studies have focused mainly on phishing due to the large number of phishing addresses. However, there is no work done on ponzi or gambling classification due to the limited availability of these addresses, which makes their classification more challenging. In this paper, we propose a machine learning (ML) based method for classifying malicious addresses in ethereum, with a specific focus on phishing, ponzi, and gambling addresses. We use a selective upsampling technique through the tabular generative adversarial network (GAN) to solve limited data problems. We perform not only binary but also multiclass classification on various feature extraction methods, including Trans2Vec and Node2Vec, using Ethereum transactional data. We evaluate our method on F 1 score, precision, recall, and accuracy. Our results show that the proposed method is effective in ponzi and gambling detection when compared with the state-of-the-art.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Ethereum; Network embeddings; Address classification; Machine learning; CTGAN; CTABGAN plus
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实证数据
【Author】 Dyball, Maria Cadiz Seethamraju, Ravi
【影响因子】5.261
【主题类别】
区块链应用-实体经济-审计领域
【Abstract】This paper reports on a study that investigated how the business models of Australian accounting firms are impacted by audit clients using blockchain technology. Semi-structured interviews with a range of stakeholders including audit partners from big-4 accounting firms reveal that firms are gradually adapting their business models by offering value propositions that involve efficiency, complementarities and novelty, despite a formative blockchain ecosystem in Australia. This ecosystem is characterized by clients' reluctance to use blockchain platforms for financial systems and a lack of clear direction on applicable accounting standards and consensus on blockchain standards and governance.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Business models; Accounting firms
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实证数据
【Author】 Nairi, Chaimaa Cicioglu, Murtaza Calhan, Ali
CCF-C
【影响因子】5.047
【主题类别】
区块链应用-实体经济-慈善领域
区块链应用-虚拟经济-Web3
【Abstract】A donation-tracking system leveraging smart contracts and blockchain technology holds transformative potential for reshaping the landscape of charitable giving, especially within the context of Web 3.0. This paper explores how smart contracts and blockchain can be used to create a transparent and secure ledger for tracking charitable donations. We highlight the limitations of traditional donation systems and how a blockchain-based system can help overcome these challenges. The functionality of smart contracts in donation tracking, offering advantages such as automation, reduced transaction fees, and enhanced accountability, is elucidated. The decentralized and tamper-proof nature of blockchain technology is emphasized for increased transparency and fraud prevention. While elucidating the benefits, we also address challenges in implementing such a system, including the need for technical expertise and security considerations. By fostering trust and accountability, a donation-tracking system in Web 3.0, empowered by smart blockchain networks, aims to catalyze a profound positive impact in the realm of philanthropy.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Smart contracts; Blockchain technology; Donation tracking; Decentralization; Web 3.0
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 理论模型
【Author】 Diao, Yiqing Ye, Ayong Zhang, Yuexin Zhang, Ji Xu, Li
【影响因子】4.960
【主题类别】
区块链技术-核心技术-隐私保护
【Abstract】Smart contract, as the representative application of blockchain, has recently fueled extensive research interests from both academia and industry. However, with its wide applications, the weaknesses of smart contract have been gradually revealed. The major barrier to the widespread adoption of smart contract involves concerns about on-chain privacy which refers to the details of input/output privacy. To address privacy concerns, we propose in this paper, P-Chain, a privacy-aware framework for smart contracts of permissioned blockchain to protect sensitive data of users based on Secure Multi-party Computation (SMPC). Unlike existing work that suffer several key drawbacks, including introducing a third party who could get the details of the deal, and high overhead for on-chain and off-chain communication, as well as lacking a privacy protection for output data, we enhance the privacy protection for smart contracts system by adding a new secure multi-party computation layer in P-Chain. Through secure multi-party computing, sensitive inputs of smart contracts are divided into multiple sub-inputs and sent to computing participants for operation respectively, which ensures that each participant can only access part of the user's information. A stochastic strategy based on (t; t ; n ) threshold secret sharing to select calculating parties is also been proposed, which makes it difficult for an attacker to aggregate t of n participants for launching a collusive attack. In addition, we propose the output privacy protection method that makes it possible to reach a consensus without the need to know the output. The extensive experimental evaluation and analysis demonstrate that our scheme enjoys the advantages of calculation correctness, input-output privacy as well as anti-collusion.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Privacy; Smart contract; SMPC; Permissioned blockchain; Hyperledger fabric
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实验仿真
【Author】 Adnan, Muhammad Ahmed, Ijaz Iqbal, Sajid Fazal, Muhammad Rayyan Siddiqi, Sadia Jabeen Tariq, Muhammad
【影响因子】4.152
【主题类别】
区块链应用-实体经济-电力领域
【Abstract】The ongoing evolution of the Metaverse, digital twin (DT), artificial intelligence (AI), and Blockchain technologies is fundamentally transforming the utilization of sustainable energy resources (SERs) within smart grids (SGs), ushering in the era of smart grid 3.0 (SG 3.0). This paradigm shift presents unprecedented opportunities to establish robust and sustainable energy trading frameworks between consumers and utilities within the SG 3.0 environment. The integration of DT, AI, and Blockchain technologies in the context of the Metaverse's smart grids, facilitated by optimized communication protocols, represents a transformative approach. AI models play a pivotal role in predictive energy trading analysis, while DT assumes a crucial role in effectively managing diverse SERs within SGs. Simultaneously, Blockchain technology holds the potential to create a trusted and decentralized environment, laying the foundation for an energy trading system within the SG 3.0 universe of the Metaverse. This visionary convergence of DT and Blockchain sets the stage for a futuristic paradigm in SGs, establishing a robust energy trading and management foundation. This paper embarks on exploring uncharted research paths and unlocking new dimensions by surveying and delving into the convergence of the Metaverse, Blockchain, AI, and DT. Its primary objective is to drive the digitization of SERs within SGs, to revolutionize energy systems. The envisioned SG 3.0 represents a significant leap by amalgamating cutting-edge technologies in sustainable energy, paving the way for revolutionary advancements in SGs' digitization, which aligns with and contributes to achieving the sustainable development goals outlined by the United Nations.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Smart grids 3.0; Blockchain; Digital twin; Artificial Intelligence; Metaverse; Sustainable energy resources; Communication protocols
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 综述
【Author】 Zhang, Shaomin Wang, Xu Wang, Baoyi
【影响因子】3.818
【主题类别】
区块链治理-技术治理-区块链安全
【Abstract】With the development of Electric Vehicles (EVs), the number of public charging piles cannot meet the immediate charging needs of EV users sometimes. The charging stations provide flexible electricity transaction schemes for users by managing charging piles and Vehicle-to-Vehicle (V2V). Users can freely choose transaction partners and submit transaction plans to multiple charging stations. The mobility of EVs results in users randomly selecting rings multiple times, which may cause them to appear in different rings. Attackers can link multiple transaction plans and infer user privacy information. The leakage of transaction information may threaten the fairness of transactions. Aiming at the above situations, a privacy protection scheme to resist ring selection attack in Peer-to- Peer double auction V2V electricity transaction for charging stations is proposed. Firstly, the ring signcryption algorithm is improved to resist ring selection attack. Secondly, a real identity verification algorithm is designed to track malicious users. Theoretical analysis proves that the security of the proposed privacy protection scheme. The elliptic curve point multiplication is used in the scheme to improve computational efficiency. Experiments show that this scheme has low computational and communication costs. Verification cost increases slowly with the increase of the number of ring members.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】V2V electricity transaction; Privacy protection; Ring signcryption; Ring selection attack; Charging station
【发表时间】2025
【收录时间】2024-10-25
【文献类型】 理论模型
【Author】 Samuel, B. Kasturi, K.
【影响因子】3.721
【主题类别】
区块链技术-协同技术-数据共享
【Abstract】Cloud computing is currently emerging as a developing technology in which a Cloud Service Provider (CSP) is a third-party organization that provides effective storage of data and facilities to a large client base. Saving information in a cloud offers users the satisfaction of accessing it without the need for direct knowledge of the distribution and management of an infrastructure. The primary objective is to develop a novel, secure, and privacy-preserving data-sharing model that utilizes deep-based key generation on blockchain in the cloud. Data communication is done using multiple entities. The research aims to develop a collaborative data-sharing method in the cloud for the authentication scheme for cloud security on blockchain and smart contracts. Initialization, registration, key generation, authentication of data sharing, and validation are carried out here. The proposed data-sharing model involves a revenue distribution model that depends on Multiple Services (MS) models to improve multiple cloud services. The security parameters namely passwords, hashing functions, key interpolation, and encryption are used for preserving the Data privacy and here the SpinalNet is used for generating keys. Furthermore, the devised SpinalNet_Genkey obtained a value of 45.001 MB, 0.002, and 0.003 sec for memory usage, revenue, and computation cost.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cloud service providers; SpinalNet; Authentication; Key Generation; Cloud computing
【发表时间】2025
【收录时间】2024-10-25
【文献类型】 案例研究
【Author】 Li, Zhi Zhang, Wenxiang
【影响因子】3.666
【主题类别】
区块链应用-实体经济-教育领域
【Abstract】In the swiftly changing realm of education, technology serves as a key instrument in transforming the methods of teaching, learning experiences, and educational outcomes. Legal and governance issues, integral to maintaining order and justice in societies, are equally pertinent in the realm of education. The digital age introduces concerns like cybersecurity, data protection, and the need for adaptive cybercrime legislation, all of which intersect with the integration of technology in education. As technology advances, legal frameworks must adapt to regulate emerging technologies within educational settings. A collaborative effort is essential to address these issues, requiring continuous review and adaptation of legal frameworks to meet evolving challenges. This research explores the complex aspects of the legal and governance challenges emerging from the integration of Artificial Intelligence (AI), Big Data (BD), and Blockchain (BC) technologies and their influence on education. Employing a quantitative research approach, data were gathered from a diverse pool of 347 professionals, including legal experts, cybersecurity specialists, and AI researchers in China. The research methodology integrated SPSS and Smart PLS3 for robust statistical analysis. The findings illuminate legal challenges, regulatory gaps, ethical concerns, and emphasize the pivotal roles of cross-border collaboration and adaptive regulatory approaches in navigating the complexities of converging technologies. The novelty of this study is rooted in its thorough investigation of the complex legal and governance aspects related to the merging of AI, BD, and BC. This research contributes to both advancing academic understanding and offering practical applications for policymakers, industry professionals, and researchers engaged in shaping the regulatory landscape of these transformative technologies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Converging information and communication technologies; Legal and governance issues; AI integration; Big data integration; Blockchain integration
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 案例研究
【Author】 Boumaiza, Ameni
【影响因子】3.476
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】The burgeoning field of rooftop solar panel technology has revolutionized electricity markets, empowering consumers and prosumers to exchange localized energy. Blockchain technology, with its inherent ability to facilitate peer-to-peer (P2P) energy transactions, has emerged as a pivotal player in this evolving landscape. However, despite its promise, blockchain technology in this context is still in its nascent stages, grappling with the notorious 'trilemma' of scalability, security, and decentralization. This manuscript delves into the complexities of applying blockchain technology to P2P energy trading, with a particular focus on overcoming the scalability limitations. To address this open challenge, we propose a novel blockchain-based solution named 'DYNAMO,' a decentralized market clearance system. The efficacy of this approach is validated through empirical modeling, leveraging data from a real-world case study. Our findings demonstrate that DYNAMO significantly surpasses existing base layer models in scalability, while meticulously safeguarding the fundamental principles of security and decentralization. This research represents a crucial leap forward in unlocking the full potential of blockchain technology for facilitating P2P energy trading, paving the way for a more efficient and decentralized energy future.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Artificial intelligence; Scalability; Microgrids; Complexity theory; Reliability; Data models; Machine learning; Solar power generation; Photovoltaic systems; marketplace; blockchain; machine learning; renewable energy; solar PV; microgrids; feed-in tariff
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实证数据
【Author】 Agarwal, Udit Rishiwal, Vinay Yadav, Mano Alshammari, Majid Yadav, Preeti Singh, Omkar Maurya, Vinay
【影响因子】3.476
【主题类别】
区块链应用-实体经济-供应链
【Abstract】The growing complexities in supply chain management, driven by internationalization, decentralization, and modernization, are increasingly threatened by data breaches, network intrusions, and software vulnerabilities. Business stakeholders are turning to blockchain technology as a possible solution to improve modern supply chains' reliability, integration, and visibility. Blockchain provides a robust framework that supports product traceability, seamless system integration, and enhanced transparency across operations. However, despite its transformative potential, integrating blockchain into supply chain management (SCM) introduces new security risks. These include threats to the confidentiality of blockchain transactions, as attackers may employ techniques like transaction linkage and deanonymization. This paper explores the specific security challenges related to blockchain-based SCM systems, including risks related to SCM, Internet of Things (IoT) system attacks, and blockchain system vulnerabilities. Additionally, the paper presents a case study on securing the drug supply chain through blockchain technology, focusing on attribute-based identity management and zero-knowledge proofs (ZKP) to bolster security and transparency. This approach highlights how blockchain can enhance data privacy, improve access control and identity management, protect information integrity and traceability, and reduce the risk of counterfeit products throughout the supply chain. The paper provides valuable guidance and outlines potential directions for future research in blockchain-driven security and associated issues for supply chain networks, offering a clear roadmap for researchers.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Supply chain management; Surveys; Stakeholders; Medical services; Drugs; Complexity theory; Textiles; Internet of Things; Network security; Trust management; Risk management; Information integrity; Blockchain technology; secure supply chain; cyber attacks; IoT networks; security; trust
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 综述
【Author】 Jasiak, Joann Zhong, Cheng
【影响因子】3.399
【主题类别】
区块链治理-市场治理-市场分析
区块链治理-市场治理-数字货币
【Abstract】This paper examines and compares intraday and intraweek patterns in hourly and daily prices, returns, volumes and volatility of native cryptocurrencies, stablecoins and tokens traded on Bitstamp. We show that native cryptocurrencies and tokens share common intraday periodicity determined by the operating times of the NYSE, LSE and Hang Seng stock exchange markets. Periodic patterns are also documented in the returns on cryptocurrency market portfolio approximated by the PCA applied to intraday and intraweek cross-sectional correlation matrices of cryptocurrency returns. Stablecoins have distinct dynamics and their daily and hourly returns are uncorrelated with one another and with the returns on other cryptocurrencies. We introduce a functional CAPM to accommodate the periodic patterns and estimate it by regressing the functions of intraday and intraweek cryptocurrency returns on the market portfolio. We show that the return functions on Bitcoin, Ether, and Link satisfy affine relationships with the return functions of the market portfolio and their functional betas display periodic intraday and intraweek patterns.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Periodicity; Stablecoin; Token; Bitcoin; PCA; Market portfolio; CAPM; Functional regression
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 实验仿真
【Author】 Boumaiza, Ameni Maher, Kenza
【影响因子】3.252
【主题类别】
区块链应用-实体经济-碳交易
【Abstract】The trinity of global warming, climate change, and air pollution casts an ominous shadow over society and the environment. At the heart of these threats lie carbon emissions, whose reduction has become paramount. Blockchain technology and the internet of things (IoT) emerge as innovative tools for establishing an efficient carbon credit exchange. This paper presents a blockchain and IoT-centric platform for carbon credit exchange, paving the way for transparent, secure, and effective trading. IoT devices play a pivotal role in monitoring and verifying carbon emissions, safeguarding the integrity and accountability of the trading process. Blockchain technology, with its decentralized and immutable nature, empowers the platform with transparency, reduced fraud, and enhanced accountability. This platform aims to arm organizations and individuals with the ability to actively curb carbon emissions, fostering collective efforts towards global pollution reduction goals.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】CO2 emissions; carbon allowance; IoT devices; pollution reduction; sustainability; blockchain
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 案例研究
【DOI】 10.3390/en17194811
【Author】 Conlon, Thomas Corbet, Shaen Oxley, Les
【影响因子】2.853
【主题类别】
区块链治理-法律治理-区块链监管制度
【Abstract】This research investigates the relationship between impending regulatory measures, specifically the introduction of European MiCa regulations, and their influence on cryptocurrency markets. Analysing stock market responses, we highlight significant shifts in liquidity, variance, and return dynamics post-MiCa-related announcements. Specifically, such announcements are associated with significant negative cryptocurrency returns and elevated liquidity. The findings reveal defined heterogeneity across different cryptocurrency sub-classes, each uniquely affected by its inherent attributes and susceptibility to regulatory changes. This work offers insights into the nature of market responses to regulatory intervention, providing an invaluable perspective on the equilibrium between cryptocurrency market behaviour and the evolving European regulatory landscape.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Regulation; MiCa; Liquidity risk; Governance and policy
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 观点阐述
【影响因子】2.690
【主题类别】
区块链应用-实体经济-物联网
【Abstract】One of the main security challenges when federating separate Internet of Things (IoT) administrative domains is effective Identity and Access Management, which is required to establish trust and secure communication between federated IoT devices. The primary goal of the work is to develop a "lightweight" protocol to enable authentication and authorization of IoT devices in federated environments and ensure the secure communication of IoT devices. We propose a novel Lightweight Authentication and Authorization Framework for Federated IoT (LAAFFI) which takes advantage of the unique fingerprint of IoT devices based on their configuration and additional hardware modules, such as Physical Unclonable Function, to provide flexible authentication and authorization based on Distributed Ledger technology. Moreover, LAAFFI supports IoT devices with limited computing resources and devices not equipped with secure storage space. We implemented a prototype of LAAFFI and evaluated its performance in the Hyperledger Fabric-based IoT framework. Three main metrics were evaluated: latency, throughput (number of operations or transactions per second), and network resource utilization rate (transmission overhead introduced by the LAAFFI protocol). The performance tests conducted confirmed the high efficiency and suitability of the protocol for federated IoT environments. Also, all LAAFFI components are scalable as confirmed by tests. We formally evaluated LAAFFI security using Verifpal as a formal verification tool. Based on the models developed for Verifpal, we validated their security properties, such as message secrecy, authenticity, and freshness. Our results show that the proposed solution can improve the security of federated IoT environments while providing zero-day interoperability and high scalability. Compared to existing solutions, LAAFFI is more efficient due to the use of symmetric cryptography and algorithms adapted for operations involving IoT devices. LAAFFI supports multiple authorization mechanisms, and since it also offers authentication and accountability, it meets the requirements of Authentication, Authorization and Accounting (AAA). It uses Distributed Ledger (DL) and smart contracts to ensure that the request complies with the policies agreed between the organizations. LAAFFI offers authentication of devices belonging to a single organization and different organizations, with the assurance that the encryption key will be shared with another device only if the appropriate security policy is met. The proposed protocol is particularly useful for ensuring the security of federated IoT environments created ad hoc for special missions, e.g., operations conducted by NATO countries and disaster relief operations Humanitarian Assistance and Disaster Relief (HADR) involving military forces and civilian services, where immediate interoperability is required.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】internet of things; blockchains; authentication; distributed systems
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 理论模型
【Author】 Ma, Juntao Li, Chenchen
【影响因子】1.469
【主题类别】
区块链治理-技术治理-交易预测
【Abstract】To enhance bubble detection capabilities, we introduce two significant improvements to the Log-Periodic Power Law Singularity (LPPLS) model: (1) a novel fitting approach, which yields more accurate predictions of critical price distributions within a single sample window; (2) a restructured neural network approach further enhances the estimations of the probability distributions of the critical points across both time and price dimensions, and it can be fine-tuned with real-world data. The simulation and practical applications to typical asset price bubbles in cryptocurrencies, commodities, and equity indices demonstrate that our refined model, the Generalized-LPPLS Neural Network (G-LPPLS-NN), outperforms all other models we examined in terms of predictive accuracy for critical point distributions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bubble detection; LPPLS; Fitting methodology; Neural network; Fine-tuning
【发表时间】2024
【收录时间】2024-10-25
【文献类型】 理论模型
【作者】 刘丽丽; 李医中
【作者单位】郑州轻工业大学经济与管理学院;郑州轻工业大学机电工程学院;
【文献来源】系统工程
【复合影响因子】1.692
【综合影响因子】1.030
【主题类别】
区块链应用-实体经济-知识管理
区块链应用-实体经济-供应链
【摘要】以知识提供方和平台方组成的知识付费产品供应链为研究对象，考虑消费者的知识敏感度和质量检验成本，针对平台方定价和知识提供方定价两种定价模式，分别建立区块链技术应用前后的博弈模型，通过对比分析四种模式下均衡解的变化，分析了区块链技术解决知识付费行业中产品质量问题的有效性和应用边界。研究发现：（1）在两种定价模式下，区块链技术的采用都能够提高知识付费产品的最优质量水平、市场价格和需求量，并且三者都随着消费者的知识敏感度的提高而增加；（2）无论是否采用区块链技术，当消费者的知识敏感度较低时，平台方定价模式下的质量水平、需求量和供应链整体利润高于知识提供方定价模式，而当消费者的知识敏感度较高时，三者则在知识提供方定价模式下更高；（3）平台方引入区块链技术所支付的固定成本以及知识提供方支付的验证费用的高低只影响双方的最优利润，并不影响最优单位质量签约金、佣金率、质量水平和市场价格。
【关键词】区块链;;知识付费产品供应链;;知识敏感度;;质量决策;;定价决策
【文献类型】 理论模型
【发表时间】2024-10-25
【作者】 祝玉华; 孟利奥; 甄彤; 李智慧
【作者单位】河南工业大学信息科学与工程学院;河南工业大学粮食信息处理与控制教育部重点实验室;
【文献来源】中国农机化学报
【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-食品领域
【摘要】随着我国粮食物流在公铁水多式联运过程中面临的挑战日益增多，信息共享和管控成为关键问题。针对传统的粮食溯源体系面临数据中心化、信息不透明、数据易伪造等问题，提出一种粮食多式联运区块链分级多链溯源模型。该模型包含一级链Ms-Raft(Multi-strategy-Raft)算法、二级链R-PBFT(Reliability-Practical Byzantine Fault Tolerance)算法和智能合约算法，一级链和二级链通过哈希锁定相互锚定，保证数据传输的可靠性。对比试验表明，分级多链模型的写入吞吐量为170 tps、读取吞吐量为280 tps、平均记账时延为0.25 s、平均写入时延为0.50 s、平均查询时间为0.41 s，与单链模型相比有更高的网络性能、共识效率和运行效率，且安全性更高，满足粮食多式联运溯源的需求。
【关键词】粮食多式联运;;区块链;;溯源;;跨链技术
【文献类型】 实验仿真
【发表时间】2024-10-25