【Author】 Manupati, V. K. Schoenherr, Tobias Ramkumar, M. Panigrahi, Suraj Sharma, Yash Mishra, Prakriti
【影响因子】11.251
【主题类别】
区块链应用-实体经济-工业领域
【Abstract】Supply chain networks have become larger, more complex and more challenging to manage, especially considering the multitude of risks and disruptions that may manifest. As such, a disruption can wreak havoc to a supply chain network, rendering the ability of a firm to respond to these disruptions with appropriate recovery strategies paramount. In this paper, we analyze such recovery strategies in a supply chain network. The specific model we develop aims at predicting a disruption that may occur in a context where smart contracts have been implemented based on blockchain technology. Within this setting, we suggest appropriate measures to be un-dertaken by an organization to mitigate the disruption and avoid negative performance outcomes as much as possible. If the disruption cannot be avoided, the proposed genetic algorithm-based approach focuses on adopting re-active measures to manage the post-disruption reality. As such, we effectively integrate both pre-and post-disruption scenarios to offer wholistic decision-support in an integrated fashion, extending prior work which mostly developed guidance only for either pre-or post-disruption responses. Specifically, we study the perfor-mance of a complex multi-echelon supply chain network, involving multiple suppliers, manufacturers, and distributors, under various conditions. The insights derived discern the effect of mitigation measures during a disruption, offering valuable guidance for decision makers.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Supply chain management; Disruptions; Performance; Blockchain; Genetic algorithm; Robustness
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【影响因子】11.251
【主题类别】
区块链应用-实体经济-电商领域
【Abstract】Recent improvements in consumers' awareness of product traceability have revealed the disadvantages of traditional supply chain traceability systems. Traditional traceability systems are centralized, and the data that they use are vulnerable to tampering, resulting in a low level of consumer trust. Blockchain technology, as a distributed ledger, can solve these problems. In this study, we examine the blockchain technology introduction decisions of a supply chain involving two competing manufacturers and a single retailer, and their effects on supply chain performance. We find that manufacturers should adopt blockchain technology only when consumer sensitivity to blockchain technology exceeds a certain level and manufacturers who can introduce blockchain technology first are more likely to reap big gains in profits. Regarding the unit verification fee that the retailer pays to the manufacturer when introducing blockchain technology, the manufacturer subsidizes this fee to the retailer in the form of lower wholesale prices. In other words, there is no additional wholesale cost to the retailer for blockchain technology-based products. The results of this study provide guidance for supply chain members' market practices.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Supply chain management; Manufacturer competition; Blockchain technology; Consumer traceability awareness
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【Author】 Khan, Huma Hayat Malik, Muhammad Noman Konecna, Zdenka Chofreh, Abdoulmohammad Gholamzadeh Goni, Feybi Ariani Klemes, Jiri Jaromir
【影响因子】11.072
【主题类别】
区块链应用-实体经济-农牧领域
【Abstract】This study aims to investigate blockchain technology for agricultural supply chains during the COVID-19 pandemic. Benefits and solutions are identified for the smooth conduction of agricultural supply chains during COVID-19 using blockchain. This study uses interviews with agricultural companies operating in Pakistan. The findings discover the seven most commonly shared benefits of applying blockchain technology, four major challenges, and promising solutions. About 100% of the respondents mentioned blockchain as a solution for tracking the shipment during COVID-19, data retrieval and data management, product and transaction frauds, and an Inflexible international supply chain. Roughly 75% of the respondents mentioned the challenge of lack of data retrieval and data management and the Inflexible international supply chain in COVID-19 besides their solutions. This study can expand existing knowledge related to agricultural supply chains. The experiences shared in this study can serve as lessons for practitioners to adopt the blockchain technology for performing agricultural supply chain during pandemic situations such as COVID-19.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】COVID-19; Blockchain; Digital transformation; Agriculture; Supply chain
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【Author】 Raja, Gunasekaran Kottursamy, Kottilingam Dev, Kapal Narayanan, Renuka Raja, Ashmitha Karthik, K. Bhavani Venkata
CCF-B
【影响因子】9.551
【主题类别】
区块链技术-协同技术-深度强化学习
【Abstract】Connected and Autonomous Vehicles (CAVs) are an emerging solution to the issues of safe and sustainable transportation systems in the future. One major transport technology for CAVs is Cooperative Adaptive Cruise Control (CACC), for which unsignalized autonomous intersection crossing is a growing use case. CACC relies heavily on inter-vehicular communication and is thus vulnerable to message forgery and jamming attacks. Most solutions for CACC focus exclusively on enhancing efficiency or security but do not offer an integrated framework for achieving both on a large scale. In this paper, we propose a Blockchain-integrated Multi-Agent Deep Reinforcement Learning (Block-MADRL) architecture for enhancing the efficiency of CACC while cooperatively detecting attacks, reducing the fuel efficiency of identified attackers and securely notifying the overall network. Our approach uses multi-agent deep reinforcement learning to find fuel and throughput optimizing solutions for CACC and a cooperative verification mechanism based on Extended Isolation Forest (EIF) for attack detection. Attacker data is securely stored in a Road Side Unit (RSU) level blockchain, and we design a low-latency, high throughput consensus protocol for speedy and secure data dissemination. Simulation results indicate over 29.5% better lane throughput with our approach during acceleration forgery attack, up to 23% induced reduction in fuel efficiency of malicious vehicles, 17.6% higher blockchain throughput through our consensus protocol and over 8% improvement in attack detection rate compared to 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】Hidden Markov models; Fuels; Throughput; Reinforcement learning; Forgery; Fault tolerant systems; Fault tolerance; Connected and autonomous vehicles; cooperative adaptive cruise control; Zyzzyva; blockchain; multi-agent deep reinforcement learning
【发表时间】
【收录时间】2022-06-16
【文献类型】 实证性文章
CCF-B
【影响因子】9.551
【主题类别】
区块链应用-实体经济-交通领域
【Abstract】The rapid advancement of intelligent vehicles is deemed crucial to the emergence of diverse compute-intensive applications of assisted driving, which consist of automatic driving, speed recognition, hybrid sensing data fusion, etc. Nevertheless, resources-constraint vehicles with high mobility cannot always meet the computing and communication demands when the above applications occur. Additionally, considering the expensive and inflexible deployment of edge servers, offloading application tasks to ``Edge'' in the vehicular networks is not always working well. To effectively mitigate the above issues, the complicated application tasks are motivated to offload to the vehicle platoon, where the vehicles travel synchronously in a string with small headway. Benefiting from the stable connectivity, adjustable mobility, and reasonable charge, the task vehicle would like to process the task by leveraging the idle resources of each platoon member (PM). To make more effective use of the resources on the mobile edge platoon cloud (MEPC), we investigate the resource allocation strategy based on the task vehicle's service pricing strategy in this work. We first formulate the interactions between MEPC and task vehicle as a Stackelberg game to study the joint utility maximization of the MEPC and task vehicle. Then the Stackelberg Equilibrium (SE) for the proposed game is characterized and proved. The proposed algorithm Hook-Jeeves-based Stackelberg game (HJSG) can reach the SE. Finally, we introduce the consortium blockchain to ensure the security and privacy of service transactions. The entire system helps enhance task processing efficiency, protect transaction data, and improve service experience. Experimental results over numerical simulation based on practical scenarios demonstrate that compared with Multi-round Stackelberg Game (MRSG), uniform pricing, and the local computation strategy, the proposed HJSG algorithm can attain less execution time and faster convergence performance.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Task analysis; Games; Cloud computing; Voting; Blockchains; Delays; Resource management; Internet of vehicle; computation offloading; mobile edge platoon cloud (MEPC); Stackelberg game; consortium blockchain
【发表时间】
【收录时间】2022-06-16
【文献类型】 实证性文章
CCF-B
【影响因子】9.551
【主题类别】
区块链应用-实体经济-工业领域
【Abstract】AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet of Things (IoT) to perform complex computing by offloading tasks to edge services deployed in intelligent transport systems. However, offloading behavior has a certain regularity, and the real-time location of users can easily be inferred by attackers who have historical user data during the data transmission process. To address this problem, a privacy-oriented task offloading method that can resist attacks from privacy attackers with prior knowledge is proposed. First, the local computing model, channel model, and privacy loss model are defined and used to quantify evaluation indicators, such those related to privacy, time, and energy. Among them, privacy loss is formalized as the probability of a successful attack by an attacker with prior knowledge. Second, the process of solving an optimal task offloading decision problem is formalized into a Markov decision process (MDP). Finally, the deep reinforcement learning (DRL) method PPO2 is proposed to solve the planning problem of task offloading with good generalization and convergence speed, where we focus on the location privacy requirement. Experiments show that our method can handle large-scale task offloading and obtain offloading policies with reduced privacy loss, energy consumption and time delays.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Task analysis; Privacy; Servers; Computational modeling; Edge computing; Data privacy; Real-time systems; Location privacy; data transmission and tasking offloading; deep reinforcement learning; IoV edge computing; privacy loss
【发表时间】
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Erol, Ismail Ar, Ilker Murat Peker, Iskender
【影响因子】8.263
【主题类别】
区块链应用-实体经济-供应链
【Abstract】Sustainability has become increasingly important over the last three decades and has proven to be a key enabler for constructing resilient supply chains. Customers who want their products to be authenticated for sustainability put pressure on Original Equipment Manufacturers and suppliers to become more sustainable on a global scale. Moreover, social sustainability issues have become more challenging to address, and a growing number of stakeholders put emphasis on societal concerns. To this end, decision-makers are becoming increasingly interested in applying disruptive technologies to address societal, environmental, and economic concerns and accomplish sustainability goals. Researchers argue that disruptive technologies such as blockchain may be implemented to assist supply chains towards building sustainability. However, our literature analysis concluded that existing research has not quantitatively examined the critical functions of sustainable supply chain (SSC) for blockchain applicability using a decision framework. Therefore, this research, through Fuzzy SWARA-COPRAS-EDAS and COPELAND-based framework, is aimed at investigating the most feasible functions of a SSC for potential blockchain implementations. Using this framework, the critical functions of a SSC were ranked against the benefits of blockchain. The findings of this study implied that while sourcing, delivery, transformation and product recovery proved to be the most appropriate functions of SSCs for blockchain applications, customers and product use was the least feasible one. This study aids decision-makers in gaining a more thorough understanding of where in a SSC blockchain may create additional value. (C) 2021 Published by Elsevier B.V.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Sustainable supply chain management; Blockchain; Fuzzy theory; Multi-criteria decision making
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【Author】 Dong, Bingbing Jiang, Lei Liu, Jinyu Zhu, Yifeng
【影响因子】8.235
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】We examine how liquidity affects cryptocurrency market efficiency and study commonalities in anomaly performance in cryptocurrency markets. Based on the unique features of cryptocurrencies, we build a model with anonymous traders valuing cryptocurrencies as payments for goods and investment assets, and find that decreases in funding liquidity translate into lower asset liquidity in the cryptocurrency market. Empirically, we observe that many widely recognized stock market anomalies also exist in the cryptocurrency market, although some have opposite long and short legs. We also find evidence that a decrease in cryptocurrency liquidity enhances anomalous returns while preventing the cryptocurrency market from achieving efficiency.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Asset liquidity; Funding liquidity; Anomalies
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Yousaf, Imran Nekhili, Ramzi Gubareva, Mariya
【影响因子】8.235
【主题类别】
区块链治理-市场治理-DeFi
【Abstract】This paper examines the static and dynamic returns connectedness between four renowned DeFi assets, namely, Chainlink, Maker, Basic Attention Token, and Synthetix, and four internationally important conventional currencies, being they Chinese Yuan, Japanese Yen, Euro, and Pound Sterling. We use the time-varying parameter vector autoregressions framework combined with the connectedness approach based on the generalized forecast error variance decomposition. Our static connectedness analysis evidences a low connection of the DeFi markets with the conventional currency markets. The results of our dynamic analysis reveal that the return spillovers are time-varying, with an abrupt increase in connectedness between the DeFi and currency markets in early 2020, during the initial escalation of the pandemic. However, the spillover from the Chinese Yuan to the system does not exhibit any hike due to the COVID-19-triggered meltdown, highlighting a pandemic-caused decoupling of the Chinese financial system from the other centralized and decentralized markets. We observe unprecedentedly high spillovers from the system to the DeFi markets at the beginning of the pandemic. However, we still find that the DeFi markets act predominantly as net innovation transmitters during the first COVID-19 year. Moreover, we detect the existence of a pairwise-like relationship between the net return spillover profiles and report on inversely symmetric profiles for the Maker - Euro, Basic Attention Token - Japanese Yen, and the Chainlink - Pound Sterling pairs. Given the time-varying transmission-reception patterns for all markets, investors and policymakers can make use of our spillover analysis to improve portfolio allocation and regulatory decisions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】DeFi; Currencies; Spillover; COVID-19
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【影响因子】8.235
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】This paper examines return and volatility connectedness between Bitcoin, traditional financial assets (Crude Oil, Gold, Stocks, Bonds, and the United States Dollar-USD), and major global uncertainty measures (the Economic Policy Uncertainty-EPU, the Twitter-based Economic Uncertainty-TEU, and the Volatility Index-VIX) from April 29, 2013, to June 30, 2020. To this end, the Time-Varying Parameter Vector Autoregression (TVP-VAR) model, dynamic connectedness approaches, and network analyses are used. The results indicate that total spillover indices reached unprecedented levels during COVID-19 and have remained high since then. The evidence also confirms the high return and volatility spillovers across markets during the COVID-19 era. Regarding the return spillovers, Gold is the centre of the system and demonstrates the safe heaven properties. Bitcoin is a net transmitter of volatility spillovers to other markets, particularly during the COVID-19 period. Furthermore, the causality-in-variance Lagrange Multiplier (LM) and the Fourier LM tests' results confirm a unidirectional volatility transmission from Bitcoin to Gold, Stocks, Bonds, the VIX and Crude Oil. Interestingly the EPU is the only global factor that causes higher volatility in Bitcoin. Several potential implications of the results are also discussed.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Return connectedness; Risk transmissions; Bitcoin; Financial assets; Global uncertainty measures
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Wen, Fenghua Tong, Xi Ren, Xiaohang
【影响因子】8.235
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】This study compares the dynamic spillover effects of gold and Bitcoin prices on the oil and stock market during the COVID-19 pandemic via time-varying parameter vector autoregression. Both time-varying and time-point results indicate that gold is a safe haven for oil and stock markets during the COVID-19 pandemic. However, unlike gold, Bitcoin's response is the opposite, rejecting the safe haven property. Further analysis shows that the safe-haven effects of gold on the stock market become stronger when the pandemic critically spreads.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Gold; Bitcoin; Safe haven; COVID-19; TVP-VAR model; Impulse response
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【Author】 Vidal-Tomas, David
【影响因子】8.235
【主题类别】
区块链应用-虚拟经济-数字货币
【Abstract】Inspired by Alexander and Dakos (2020), we shed more light on the adequacy of data in the cryptocurrency literature by analysing the scaling properties and underlying processes of the main cryptocurrency databases (Coinmarketcap, Coingecko, BraveNewCoin and Cryptocompare) and exchange platforms (Coinbase, Bitstamp, Bittrex, Cexio and Exmo). Our results show that coin-ranking sites, such as Coinmarketcap, Coingecko and BraveNewCoin (i) include most of the cryptocurrency trading activity and (ii) are essentially characterised by the same underlying processes as the main exchange platforms (Coinbase and Bitstamp) and alternative coin-ranking sites (Cryptocompare), regardless of the possible issues arising from the aggregation of different exchanges to compute a unique cryptocurrency price. Therefore, we state that these databases are appropriate to conduct research. At any rate, we observe that all the databases analysed in this paper show the same underlying process for most liquid cryptocurrencies; consequently, scholars could use any of them for their studies, as long as they consider the different trading activity included by each database. This result is supported by an empirical analysis focused on weak-form market efficiency, since we report the same degree of efficiency regardless of the database and exchange platform. Nevertheless, we recognise the need for further research, given the gap in the literature and the black-box method used by coin-ranking sites to compute a unique cryptocurrency price.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin; Cryptocurrencies; Data; Scaling behaviour; Efficiency
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Jiang, Suhan Li, Xinyi Wu, Jie
CCF-A
【影响因子】6.075
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】The development of Blockchain-based mobile applications are impeded due to the resource limitations of mobile devices. Computation offloading can be a viable solution. In this paper, we consider a two-layer computation offloading paradigm including an edge computing service provider (ESP) and a cloud computing service provider (CSP). We formulate a multi-leader multi-follower Stackelberg game to address the computing resource management problem in such a network, by jointly maximizing the profits of each service provider (SP) and the payoffs of individual miners. We study two practical scenarios: a fixed-miner-number scenario for permissioned blockchains and a dynamic-miner-number scenario for permissionless blockchains. For the fixed-miner-number scenario, we discuss two different edge operation modes, i.e., the ESP is connected (to the CSP) or standalone, which form different miner subgames based on whether each miner's strategy set is mutually dependent. The existence and uniqueness of Stackelberg equilibrium (SE) in both modes are analyzed, according to which algorithms are proposed to achieve the corresponding SE(s). For the dynamic-miner-number scenario, we focus on the impact of population uncertainty and find that the uncertainty inflates the aggressiveness in the ESP resource purchasing. Numerical evaluations are presented to verify the proposed models.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Games; Delays; Edge computing; Cloud computing; Computational modeling; Mobile computing; Cloud computing; edge computing; game theory; load sharing; mobile blockchain mining; reinforcement learning
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【DOI】 10.1109/TMC.2020.3035990
【Author】 Jiang, Yongchang Liu, Chang
【影响因子】5.190
【主题类别】
区块链应用-实体经济-环境领域
【Abstract】Based on the consideration that consumers have low-carbon sensitivity and channel preference, a Stackelberg game model dominated by the manufacturer was constructed to study the joint strategies of low-carbon emission reduction and blockchain investment of supply chain members under three models: traditional retailer dual channel, manufacturer's online direct sales dual channel, and third-party e-commerce distribution dual channel. The interaction of different levels of emission reduction and blockchain investment in different dual-channel models was verified through the calculation and simulation analysis of the optimal decision of the supply chain members. The research results showed that the optimal emission reduction of manufacturers and the blockchain investment level of retailers under different dual-channel models are distinguishing, and manufacturers have the highest emission reduction under the dual-channel model of direct online sales; when manufacturers invest the same amount of emission reduction, the traditional retailer dual-channel model can obtain the highest profit. In the process of emission reduction decision-making, there are technology investors and beneficiaries, and the investment level is affected by the dual benefit effect of low-carbon emission reduction and trust and the combined effect of cost input. And the profit of the dual channel of third-party e-commerce distribution is the lowest; the ratio of technology gain to cost investment in the supply chain determines the initiative of low-carbon investment. Meanwhile, there are specific blockchain investment thresholds in different dual-channel modes, and the increase of the threshold value will improve the emission reduction. Besides, emission reduction investment is driven by the manufacturer's profit, and the more the manufacturer's channel accounts for, the higher the emission reduction tends to be. And further from the perspective of profit and emission reduction, it provides a reference for the channel selection and joint emission reduction strategies of the supply chain.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Carbon emission reduction; Blockchain; Stackelberg game; Dual channel; Supply chain decision-making
【发表时间】
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Ma, Liangxiao Liao, Yongxiang Fan, Haiwei Zheng, Xianfeng Zhao, Jintao Xiao, Ziyi Zheng, Guangyong Xiong, Yun
【影响因子】4.772
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】Currently, most of the personal health data (PHD) are managed and stored separately by individual medical institutions. When these data need to be shared, they must be transferred to a trusted management center and approved by data owners through the third-party endorsement technology. Therefore, it is difficult for personal health data to be shared and circulated over multiple medical institutions. On the other hand, the use of directly exchanging and sharing the original data has become inconsistent with the data rapid growth of medical institutions because of the need of massive data transferring across agencies. In order to secure sharing and managing the mass personal health data generated by various medical institutions, a federal personal health data management framework (PHDMF, ) has been developed, which had the following advantages: 1) the blockchain technology was used to establish a data consortium over multiple medical institutions, which could provide a flexible and scalable technical solution for member extension and solve the problem of third-party endorsement during data sharing; 2) using data distributed storage technology, personal health data could be majorly stored in their original medical institutions, and the massive data transferring process was of no further use, which could match up with the data rapid growth of these institutions; 3) the distributed ledger technology was utilized to record the hash value of data, given the anti-tampering feature of the technology, malicious modification of data could be identified by comparing the hash value; 4) the smart contract technology was introduced to manage users' access and operation of data, which made the data transaction process traceable and solved the problem of data provenance; and 5) a trusted computing environment was provided for meta-analysis with statistic information instead of original data, the trusted computing environment could be further applied to more health data, such as genome sequencing data, protein expression data, and metabolic profile data through combining the federated learning and blockchain technology. In summary, the framework provides a convenient, secure, and trusted environment for health data supervision and circulation, which facilitate the consortium establish over medical institutions and help achieve the value of data sharing and mining.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】personal health data; blockchain; smart contract; data provenance; data sharing
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【Author】 Zhao, Yan
【影响因子】3.822
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】The study aims to explore the scheduling plan for the emergency of blockchain technology in the medical industry. Network security architecture for medical supplies management based on the Hyperledger Fabric optimized consensus mechanism is established by studying the characteristics of blockchain technology and its data structure composition. The supply chain model for medical device scheduling based on intelligent contracts is selected for the particularity of the nature and shape of medical devices in medical supplies. Ant colony algorithm is used to solve it. Case analysis and verification results show that the improved Hyperledger Fabric consensus mechanism has better security performance. Under the condition of 10,000 transactions, the probability of an attacker with the optimized consensus mechanism successfully controlling the transaction is only 7.2%. The optimized solution is about 50% higher than the original solution in terms of transaction processing speed. Over 1000 transactions, the transaction latency optimization rate is more than doubled. The total order completion time of the medical device scheduling model adopted by the intelligent contract is 26.3% higher than the historical service time of 19 days. The performance of the medical emergency material scheduling program that is added to the supply chain technology is better.
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】2022-06-16
【文献类型】 实证性文章
【DOI】 10.1155/2022/4608761
【影响因子】3.796
【主题类别】
区块链技术-核心技术-分布式存储
【Abstract】Miners in a blockchain system are suffering from ever-increasing storage costs, which in general have not been properly compensated by the users' transaction fees. This reduces the incentives for the miners' participation and may jeopardize the blockchain security. To mitigate this blockchain insufficient fee issue, we propose a Fee and Waiting Tax (FWT) mechanism, which explicitly considers the two types of negative externalities in the system. Specifically, we model the interactions between the protocol designer, users, and miners as a three-stage Stackelberg game. By characterizing the equilibrium of the game, we find that miners neglecting the negative externality in transaction selection cause they are willing to accept insufficient-fee transactions. This leads to the insufficient storage fee issue in the existing protocol (i.e., deployed in Bitcoin and Ethereum). Moreover, our proposed optimal FWT mechanism can motivate users to pay sufficient transaction fees to cover the storage costs and achieve the unconstrained social optimum. Numerical results show that the optimal FWT mechanism guarantees sufficient transaction fees and achieves an average social welfare improvement of 51.43% or more over the existing protocol. Furthermore, the optimal FWT mechanism reduces the average waiting time of low-fee transactions and all transactions by 68.49% and 61.56%, respectively.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Costs; Protocols; Games; Finance; Robots; IEEE transactions; Blockchain storage; game theory; incentive mechanism
【发表时间】
【收录时间】2022-06-16
【文献类型】 实证性文章
【影响因子】3.741
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】We study information dynamics between the largest Bitcoin exchange markets during the bubble in 2017-2018. By analyzing high-frequency market microstructure observables with different information-theoretic measures for dynamical systems, we find temporal changes in information sharing across markets. In particular, we study time-varying components of predictability, memory, and (a)synchronous coupling, measured by transfer entropy, active information storage, and multi-information. By comparing these empirical findings with several models, we argue that some results could relate to intra-market and inter-market regime shifts and changes in the direction of information flow between different market observables. (C)& nbsp;2022 Author(s).
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】2022-06-16
【文献类型】 实证性文章
【DOI】 10.1063/5.0080462
【Author】 Huang, Tao Lin, Dan Wu, Jiajing
【影响因子】3.691
【主题类别】
区块链技术-协同技术-大数据
【Abstract】Accounts in Ethereum are found to be involved in various services or businesses. Account classification can help us detect illegal behavior, track transactions, and de-anonymize the Ethereum transaction system. In this brief, we make use of Graph Convolutional Network (GCN) to solve the account classification problem in Ethereum. We model the Ethereum transaction records as a large-scale transaction network and find that the network is with high heterophily, in which accounts with different features and different labels are connected. In order to solve this problem, we propose a GCN-based model called EH-GCN. The experimental results on a realistic Ethereum dataset show that the proposed method achieves the most advanced classification performance, and results on benchmarks show it produces a competitive performance under homophily.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin; Benchmark testing; Task analysis; Circuits and systems; Business; Blockchains; Feature extraction; Blockchain; ethereum; graph convolutional network; heterophily; account classification
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Xia, Yijun Liu, Jieli Wu, Jiajing
【影响因子】3.691
【主题类别】
区块链治理-技术治理-异常/非法交易识别
【Abstract】In recent years, the losses caused by phishing scams on Ethereum have reached a level that cannot be ignored. In such a phishing detection scenario, network embedding is seen as an effective solution. In this brief, we propose an attributed ego-graph embedding framework to distinguish phishing accounts. We first obtain the account labels from an authority site and the transaction records from Ethereum on-chain blocks. Then we extract ego-graphs for each labeled account to represent it. To learn representations for ego-graphs, we utilize non-linear substructures sampled from ego-graphs and use a skip-gram model. Finally, a classifier is applied to graph embeddings to predict phishing accounts. To overcome the limit that transaction attributes are not encoded into ego-graph embeddings, we give nodes and subgraphs with richer attribute-based semantics. Specifically, we propose a novel node relabeling strategy based on Ethereum transaction attributes including transaction amount, number, and direction, and differentiating nodes and subgraphs by new labels. Through this, structural and attributed features of the Ethereum transaction networks can be learned at the same time. Experimental results show that our framework achieves effective performance on class imbalanced phishing detection on Ethereum.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Phishing; Blockchains; Feature extraction; Task analysis; Data mining; Smart contracts; Computer crime; Ethereum; blockchain; phishing; network embedding
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Coulter, Kelly Ann
【影响因子】3.653
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】This paper examines the relationship between events reported in international news via categorical discourses and Bitcoin price. Natural language processing was adopted in this study to model data-driven discourses in the crypto-economy, specifically the Bitcoin market. Using topic modelling, namely Latent Dirichlet Allocation, a text analysis of cryptocurrency articles (N = 4218) published from 60 countries in international news media identified key topics associated with cryptocurrency in the international news media from 2018 to 2020. This study provides empirical evidence that across the corpora of international news articles, 18 key topics were framed around the following categorical macro discourses: crypto-related crime, financial governance, and economy and markets. Analysis shows that the identified discourses may have had a 'social signal' effect on movements in the crypto-financial markets, particularly on Bitcoin's price volatility. Results show these specific discourses proved to have a negative effect on Bitcoin's market price, within 24 h of when the crypto news articles were published. Further, the study found that in some cases, the source of the news may have amplified the volatility effect, particularly in terms of geographical region, relative to broader market conditions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】cryptocurrency; topic modelling; Latent Dirichlet Allocation; news media; text analysis; sentiment
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【DOI】 10.1098/rsos.220276
【Author】 Mohapatra, Debasis Bhoi, Sourav Kumar Jena, Kalyan Kumar Nayak, Soumya Ranjan Singh, Akansha
【影响因子】3.503
【主题类别】
区块链技术-协同技术-物联网
【Abstract】This paper proposes a fog-based secure data sharing framework for IoT devices that uses blockchain mechanism for this purpose. Fog computation is a popular paradigm that facilitates computation/storage facilities closer to the users and placed in between cloud environment and the users. Here, the IoT devices share data among each other through a secure mechanism. We propose two software agents: Software agent for Network formation and Monitoring (SAN) and Software agent for Blockchain formation and monitoring (SAB) placed in the fog node where SAN forms/monitors the network of IoT devices and SAB implements the security framework for block chain implementation. Here, three different versions of AES (128/192/256) are used for group key sharing. Group key is used for encryption/decryption of the data present in a block of a blockchain. An AES 128 based Proof of Work (PoW) is used for block addition by an authorized IoT device. SHA 256 is used for implementing hashing in blockchain. Three different systems namely System 1, 2, and 3 are considered for the experiment under different settings of design parameters. A comparison between different settings is depicted in the result section. The execution time (in seconds) is used as an evaluation parameter. The performance is found to be best in case of System 3 configuration. The time requirement is found to be a monotonically increasing function of block size and AES key length.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; IoT; Fog; AES; Group key; SHA 256
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Bikos, Anastasios N. Kumar, Sathish A. P.
【影响因子】3.476
【主题类别】
区块链技术-协同技术-物联网
【Abstract】With the faster maturity and stability of digitization, connectivity and edge technologies, the number of the Internet of Things (IoT) devices and sensors is flourishing fast in important junctions such as homes, hotels, hospitals, retail stores, manufacturing floors, railway stations, airports, oil wells, warehouses, etc. However, in this extremely connected world, the security implications for IoT devices are getting worse with the constant rise in malicious cyberattacks. The challenge is how to secure IoT sensors, services and data. The blockchain technology, a prominent distributed ledger technology (DLT), is being pronounced as the way forward for safeguarding IoT devices and data. The Directed Acyclic Graph (DAG)-based DLT has the inherent potential to realize the benefits of blockchain with better performance. IOTA is a DAG-based blockchain implementation for the IoT era. The Tangle, the IOTA's network immutably records the exchange of data and value. It ensures that the information is trustworthy and cannot be tampered with nor destroyed. In this work, we depict a thorough analysis of the existing security studies for IOTA. Then, we identify the gaps and the limitations of these security solution schemes, and finally, propose future security research recommendations that can potentially fill these gaps to secure DLT-enabled IoT devices.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Security; Blockchains; Peer-to-peer computing; Distributed ledger; Internet of Things; Computer architecture; Wireless sensor networks; Blockchain; decentralized; the IoT; IOTA; direct acyclic graph (DAG); Tangle; cybersecurity; privacy; confidentiality
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 综述
【Author】 Mackenzie, Simon
【影响因子】3.288
【主题类别】
区块链治理-法律治理-
【Abstract】Online markets in cryptocurrency represent a sprawling and eclectic alternative financial system, selling cutting edge techno-investment schemes that are complex and high risk. Crime control is almost entirely absent from this new crypto economy, and it is full of scams. This paper draws on an ethnography of crypto trading to review the main types of scam, suggesting that the grey economy of cryptocurrency trading is part of a wider evolution of society towards the technosocial, and beyond that perhaps towards the metaversal.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】cryptocurrency; scams; fraud; financial crime; cybercrime
【发表时间】
【收录时间】2022-06-16
【文献类型】 理论性文章
【DOI】 10.1093/bjc/azab118
【影响因子】3.105
【主题类别】
区块链治理-技术治理-比特币威胁情报
【Abstract】
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Ransomware; Bitcoin; Data mining; Blockchains; Data collection; Data models; Planning
【发表时间】
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Fan, Huiling
【影响因子】2.872
【主题类别】
区块链治理-市场治理-数字资产
【Abstract】With the rapid development of digital currencies such as Bitcoin, it is difficult to extract the effective information from massive data and quantify the value of digital assets using current methods. As a key underlying technology, blockchain technology can no longer meet most of the needs of digital currency transactions. Based on this, the digital asset is taken as the research object and an analysis model for digital asset value is established with the deep learning technology in this study. Then, the authorization mechanism in the distributed position and orientation system (DPOS) algorithm is extracted and applied to the precise backward error tracking (PBET) algorithm based on the existing consensus algorithm in blockchain technology. Thus, a dynamic delegated practical byzantine fault tolerance (DDPBFT) algorithm that can be applied to the blockchain is proposed. Finally, a supervisable digital currency system is constructed based on the improved blockchain technology. After specific analysis, it is found that the analysis model for digital asset value based on the deep learning proposed in this study shows good stability and accuracy, and can help enterprises to analyze the value of digital assets. Compared with the existing consensus mechanism algorithms, the proposed DDPBFT algorithm shows better results in terms of throughput and delay. Finally, the supervisable digital currency model based on the improved blockchain technology can unite the public chains, alliance chains, and user wallets, and realize the traceability of transaction information. In short, the quantitative analysis of the value of digital assets has been realized and the supervision of digital currency transactions has been achieved by using the improved blockchain technology. (C) 2021 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】
Deep learning
; Blockchain technology; Digital asset value; Consensus algorithm; Supervisable digital currency model; Transaction information【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【Author】 Sanober, Adla Anwar, Shamama
CCF-C
【影响因子】2.577
【主题类别】
区块链技术-核心技术-加密算法
【Abstract】Data Security has always been a challenge while sharing sensitive information and a lot of techniques have been developed to achieve it. Security should not hamper the availability of the data and hence, a technique that caters to both is needed. The use of classical and modern encryption technique are very common and are becoming prone to attacks by crypto-analytics. Due to the technological advancement, new ideas of data security comes very rapidly. For this reason the use of blockchain has become profound but the actual security of the data encryption technique always depends on the choice of the key. Stronger key leads to high data security. The paper aims to explore the concept of DNA encoding to propose a data encryption algorithm. It uses a dynamic DNA encoded table which contains different combination of four DNA bases A, C, G, and T but the main feature of dynamic DNA sequence table is its randomness which is changed for different characters in ASCII code in each run time. This randomness in the encryption disables attackers to perform any sort of statistical analysis to decipher the encrypted text or guess the key.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Security; Availability; Key generation; Random DNA sequence; Encryption
【发表时间】
【收录时间】2022-06-16
【文献类型】 理论性文章
【影响因子】2.230
【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】2022-06-16
【文献类型】 理论性文章
CCF-C
【影响因子】1.968
【主题类别】
区块链技术-协同技术-物联网
【Abstract】Due to the global pandemic of COVID-19, there is an urgent need to utilize existing technologies to their full potential. Internet of things (IoT) is regarded as one of the most trending technologies with a great potential in fighting against the coronavirus outbreak. In this study, we examine the current status of IoT applications related to COVID-19, identify their deployment and operational challenges, and suggest possible opportunities to further contain the pandemic. Furthermore, we perform analysis by examining the IoT implementation in which internal and external factors are discussed. We suggest by presenting results that lightweight security algorithms, blockchain-based solutions for enabling end-to-end security and privacy, and 5G for IoT devices to tackle the bandwidth issues for scalable IoT networks are few of the solutions in containing the COVID-19.
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】2022-06-16
【文献类型】 理论性文章
【DOI】 10.1155/2022/3370408
CCF-C
【影响因子】1.968
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】Currently, because of the excellent properties of decentralization, hard tamperability, and traceability, blockchain is widely used in WSN and IoT applications. In particular, consortium blockchain plays a fundamental role in the practical application environment, but consensus algorithm is always a key constraint. Over the past decade, we have been witnessing the obvious growth in blockchain consensus algorithms. However, in the existing consortium blockchain consensus algorithms, there is a limited characteristic of scalability, concurrency, and security. To address this problem, this work introduces a new consensus algorithm that is derived from a directed acyclic graph and backpropagation neural network. First, we propose a partitioned structure and segmented directed acyclic graph as data storage structure, which allows us to improve scalability, throughput, and fine-grained granularity of transaction data. Furthermore, in order to provide the accuracy of node credit evaluation and reduce the possibility of Byzantine nodes, we introduce a novel credit evaluation mechanism based on a backpropagation neural network. Finally, we design a resistant double-spending mechanism based on MapReduce, which ensures the transaction data are globally unique and ordered. Experimental results and security analysis demonstrate that the proposed algorithm has advantages in throughput. Compared with the existing methods, it has higher security and scalability.
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】2022-06-16
【文献类型】 理论性文章
【DOI】 10.1155/2022/1060765
【Author】 Shuaib, Mohammed Hassan, Noor Hafizah Usman, Sahnius Alam, Shadab Bhatia, Surbhi Mashat, Arwa Kumar, Adarsh Kumar, Manoj
【影响因子】1.863
【主题类别】
区块链技术-核心技术-加密算法
【Abstract】Providing an identity solution is essential for a reliable blockchain-based land registry system. A secure, privacy-preserving, and efficient identity solution is essential but challenging. This paper examines the current literature and provides a systematic literature review in three stages based on the three research questions (RQ) that show the assessment and interpretation process step by step. Based on the parameters and RQ specified in the research methodology section, a total of 43 primary articles have been selected from the 251 articles extracted from various scientific databases. The majority of these articles are concerned with evaluating the existing self-sovereign identity (SSI) solutions and their role in the blockchain-based land registry system to address the compliance issues in the existing SSI solutions with SSI principles and find the best possible SSI solution to address the identity problems in the land registry. The existing digital identity solutions cannot handle the requirements of the identity principle and are prone to various limitations like centralization and dependency on third parties that further augment the chance of security threats. SSI has been designed to overcome these limitations and provide a secure, reliable, and efficient identity solution that gives complete control to the users over their personal identity information (PII). This paper reviews the existing SSI solutions, evaluates them based on the SSI principles, and comes up with the best possible SSI solution for a blockchain-based land registry system. It further provides a detailed investigation of each SSI solution to present its functionalities and limitations for further improvement.
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】2022-06-16
【文献类型】 综述
【DOI】 10.1155/2022/8930472
【影响因子】1.863
【主题类别】
区块链技术-核心技术-加密算法
【Abstract】With the rapid popularization and development of location-based services (LBS), location privacy preserving has become a mainstream concern. Existing anonymity-based methods rely mainly on anonymous location selection based on geographic information, which neglects the semantic information on the location, and behavior of self-interested users may raise a privacy vulnerability. A blockchain-based approach for location privacy protection schemes has been proposed to address these issues. In this scheme, the privacy level of the location is improved using private chain-based collaborative anonymous communication with anonymous set construction methods that consider the semantic diversity associated with the related user. Compared with other existing methods, evaluation based on real-world datasets shows that the proposed method prevents location privacy leakage from collaborative users and constructs a semantical anonymity set, thus effectively protecting the user's location privacy.
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】2022-06-16
【文献类型】 理论性文章
【DOI】 10.1155/2022/1931451
【Author】 Schwarcz, Steven L.
【影响因子】1.780
【主题类别】
区块链治理-法律治理-
【Abstract】Digital currencies have the potential to improve the speed and efficiency of payments and to broaden financial inclusion. The principal goal is to facilitate payments among consumers on a day-to-day basis as an alternative to cash, both domestically and across national borders. This Article begins by critically examining and critiquing the ongoing progress of trying to develop retail digital currencies, focusing on the two most feasible approaches: central bank digital currencies ("CBDC"), and privately issued currencies that are backed by assets having intrinsic value ("stablecoins"). The Article then analyzes how these digital currencies should be regulated and supervised, exploring their similarities and differences. Both CBDC and stablecoins raise innovative legal issues as well as the types of legal issues normally associated with money and payment systems, although in novel contexts. If widely used, stablecoins could also impair central banks' abilities to control monetary policy and possibly undermine confidence in the value or operational continuity of currencies, which could threaten international monetary and financial stability. Stablecoin regulation must also address those potential threats.
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】2022-06-16
【文献类型】 理论性文章
【Author】 Shae, Zon-Yin Tsai, Jeffrey J. P.
【影响因子】1.059
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】The high prevalence and incidence of end-stage rental disease (ESRD) and the difficulty in the early predicting the acute kidney injury (AKI) event highlights the limits of existing kidney care model, particularly the fragmented care and fractured data. The era of medical big data and artificial intelligence (AI) opens an opportunity to fill these knowledge and practice gaps. To obtain multi-dimensional view of the profiles of patients receiving dialysis, we propose to provide coherent care services and to actively collect patients' multi-faceted information from home and hospital (e.g., photos of diets, sleep duration, or dermatologic manifestations). Furthermore, by introducing the blockchain in the infrastructure to enable the trustable medical exchange and effectively creates a large set of distributed medical data lake from various participated hospitals. We will introduce the medical coin, a virtual token, to vitalize digital service within the blockchain and create common interests among data generators, data vendors, and data users.We aim to create business models on top of its therapeutic effectiveness and unlock the academic and commercial value of medical data ecosystem.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Clinical kidney intelligence platform; big data; AI; blockchain; medical data ecosystem; medical coin
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【Author】 Ozdel, Melis
【影响因子】1.025
【主题类别】
区块链治理-法律治理-
【Abstract】It is expected that the maritime world will be significantly different by 2050, from smart ports through to blockchain-based shipping documents and autonomous vessels. As the maritime trade witnesses further developments in this field, there will be an inevitable struggle to harmonise the new technology vessels with the traditional rules of law. This article seeks to further the discussion of one of the main legal rules that will have a significant role in shaping sea carriers' liability for goods carried by autonomous vessels: the nautical fault exception, which operates to remove, to some extent, sea carriers' liability for losses arising from the acts or omissions of their employees. The main tenet of this article is that an adapted version of the exception should be available to govern the carriage of goods by new technology vessels. In this context, it advocates the use of legal personhood for the purposes of the nautical fault exception. In so doing, this article contributes to the important debate in employment law on the distribution of the risk of losses arising from autonomous systems when, in future, they take over tasks traditionally carried out by employees. In the absence of employment contracts to perform certain commercial activities, the law will need to decide whether legal personhood should be assigned to autonomous systems for efficient and fair risk allocation. This article illustrates why this may be the solution particularly where there is a 'fine-tuned' balance of liability already struck in the current legal landscape.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】
【收录时间】2022-06-16
【文献类型】 理论性文章
【DOI】 10.1093/indlaw/dwab028
CCF-C
【影响因子】0.974
【主题类别】
区块链技术-核心技术-智能合约
【Abstract】Popular blockchains such as Ethereum and several others execute complex transactions in the block through user-defined scripts known as smart contracts. Serial execution of smart contract transactions/atomic units (AUs) fails to harness the multiprocessing power offered by the prevalence of multi-core processors. By adding concurrency to the execution of AUs, we can achieve better efficiency and higher throughput. In this paper, we develop a concurrent miner that proposes a block by executing AUs concurrently using optimistic Software Transactional Memory systems (STMs). It efficiently captures independent AUs in the concurrent bin and dependent AUs in the block graph (BG). Later, we propose a concurrent validator that re-executes the same AUs concurrently and deterministically using the concurrent bin followed by the BG given by the miner to verify the block. We rigorously prove the correctness of concurrent execution of AUs. The performance benchmark shows that the average speedup for the optimized concurrent miner is 5.21x, while the maximum is 14.96x over the serial miner. The optimized validator obtains an average speedup of 8.61x to a maximum of 14.65x over the serial validator. The proposed miner outperforms 1.02x to 1.18x, while the proposed validator outperforms 1x to 4.46x over state-of-the-art concurrent miners and validators, respectively. Moreover, the proposed efficient BG saves an average of 2.29x more block space 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; Smart contracts; Software transactional memory system; Multi-version; Concurrency control; Opacity
【发表时间】
【收录时间】2022-06-16
【文献类型】 实证性文章
【影响因子】0.864
【主题类别】
区块链技术-协同技术-隐私计算
【Abstract】Vehicular Adhoc Network (VANET) is a version of Mobile Adhoc Network (MANET). Owing to an increase in road accidents, VANET offers safety to road vehicles through appropriate coordination with vehicles and road side units. Along with the security guidelines of the vehicles in the network, privacy and security become vital parameters that need to be accomplished for secure data transmission in VANET. This study develops an efficient privacy-preserving data transmission architecture using red deer optimization algorithm based clustering with blockchain technology (RDOAC-BT) in cluster-based VANET. The proposed RDOAC-BT technique involves the design of RDOA based clustering technique to elect cluster heads (CHs) and construct clusters. In addition, blockchain technology is employed for secured transmission in VANET. Moreover, the blockchain is utilized to perform intra-cluster and inter-cluster communication processes. A wide range of simulations take place and the results are examined under varying aspects. The resultant outcome portrayed the betterment of the RDOAC-BT technique over the recent techniques.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain technology; CH selection; clustering; privacy; security; VANET
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 实证性文章
【影响因子】0.695
【主题类别】
区块链治理-市场治理-数字货币
【Abstract】Bitcoin is currently a hot issue worldwide, and it is expected to become a new legal tender that replaces the current currency started with El Salvador. Due to the nature of cryptocurrency, however, difficulties in tracking led to the arising of misuses and abuses. Consequently, the pain of innocent victims by exploiting these bitcoins abuse is also increasing. We propose a way to detect new signatures by applying two-fold NLP-based clustering techniques to text data of Bitcoin abuse reports received from actual victims. By clustering the reports of text data, we were able to cluster the message templates as the same campaigns. The new approach using the abuse massage template representing clustering as a signature for identifying abusers is much efficacious.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Bitcoin abuse; text clustering; text template campaign
【发表时间】2022
【收录时间】2022-06-16
【文献类型】 理论性文章
【Author】 Hoffert, Barbara
【影响因子】0.598
【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】2022-06-16
【文献类型】 理论性文章