【Author】 Zhang, Jiawei Yang, Yanbo Liu, Ximeng Ma, Jianfeng
CCF-C
【影响因子】11.648
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】With the assistance of the Internet of Things, the fast developing Healthcare Internet of Things (H-IoT) has promoted the healthcare ecosystem into the era of Health 5.0 and enables many promising medical applications, such as remote healthcare that is crucial in pandemic (e.g., coronavirus disease 2019). Healthcare participants can make accurate diagnosis, treatment, and research based on the shared personal health records (PHRs) sensed from remote H-IoT devices. However, current H-IoT systems fall short of a secure and trustworthy PHR sharing service in remote healthcare, which is able to prevent user privacy leakage and PHR integrity violation together with high efficiency in key distribution alongside efficient data retrieval and fine-grained access control. In response, we present a blockchain-based hierarchical data sharing framework (BHDSF) to provide fine-grained access control and efficient retrieval over encrypted PHRs with low consumed hierarchical key distribution and key leakage resistance. Compared with the existing solutions, the BHDSF takes both untrusted cloud and malicious auditor into consideration simultaneously and achieves trustworthy PHR integrity auditing and metadata verification by leveraging the blockchain technique. Besides, the BHDSF enables efficiently aggregative authentication for the trustworthiness of source records from H-IoT devices, which is lacked in most of the existing data sharing frameworks. Finally, we demonstrate the feasibility of the BHDSF by conducting extensive empirical tests over a real-world dataset.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Medical services; Blockchains; Internet of Things; Cloud computing; Encryption; Access control; Bandwidth; Aggregative source authentication; attribute-based encryption; Healthcare Internet of Things (H-IoT); online; offline encryption; outsourced decryption
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实证数据
【DOI】 10.1109/TII.2022.3145851
CCF-C
【影响因子】11.648
【主题类别】
区块链技术-协同技术-物联网
【Abstract】In Industry 5.0, the massive number of Internet of Things devices have increasing demands for group communication with a high communication efficiency and low energy consumption. However, group communication meets continuously increasing security risk challenges. Existing authentication and group key agreement schemes have encountered many problems, such as lack of anonymity and untraceability. In this article, we propose an anonymous authentication and dynamic group key agreement scheme based on the Blockchain and token mechanism, where each group member can apply for a time-sensitive token during the first authentication and only needs to check the validity of the token in the subsequent authentication, reducing the computational and transmission costs considerably. The verification on the security of the proposed scheme is tackled through mathematical analysis and validated using ProVerif, and comparisons with existing schemes demonstrate that the proposed scheme reduces the security risks and each group member's energy consumption.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Authentication; Industries; Security; Internet of Things; Blockchains; Costs; Informatics; Anonymous authentication; blockchain; cryptography; group key agreement; Industry 5; 0
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 理论模型
【DOI】 10.1109/TII.2021.3129631
CCF-C
【影响因子】11.648
【主题类别】
区块链技术-协同技术-物联网
【Abstract】To ensure the proper functioning and performance of Industrial grade Internet of Things devices (IIoT) in Industry 4.0 networks, it is critical to identify the capabilities and malfunctions of their component devices (e.g., sensors, actuators, and controllers) and detect potential misbehavior arising due to cyber-attacks, and misconfiguration. We envision future IoT devices embed behavioral profiles through Security-by-Contract (SxC) that are easy to validate and verify against network security policies; manufacturers to provide manufacturer usage description (MUD) profiles as a manifest for the devices to signal to the network what sort of access and network functionality they require to properly function. We design authentication in the IoT onboarding process, employ blockchains to a verifiable and immutable repository to store this network manifests, that is signed and verifiable with SxC based smart contracts by the device manufacturer, or industry authority. The integrated framework combines blockchains and SxC security contracts, MUD-based behavioral fingerprinting, and software-defined-networking for managing the security of IIoT ecosystems. Finally, the proposed scheme is validated in a simulated IoT environment on various performance parameters.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Multiuser detection; Security; Industrial Internet of Things; Blockchain; Performance evaluation; Smart contracts; Industries; Behavioral Compliance; blockchain; industrial Internet of Things (IIoT); network security; software-defined-networking (SDN)
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 理论模型
【DOI】 10.1109/TII.2021.3084341
CCF-C
【影响因子】11.648
【主题类别】
区块链应用-实体经济-电力领域
【Abstract】Blockchain has recently been regarded as an important enabler for building secure energy trading in microgrid systems because of its inherent features of distributively providing immutable data record, storage, and sharing across networks in a peer-to-peer (P2P) manner. However, designing highly efficient and scalable blockchain-enabled energy trading mechanisms is extremely challenging because of the unique features of microgrid systems, e.g., bandwidth-constrained and high-latency communications and large-scale renewable energy source (RES) integration. To address this challenge, in this article, we propose a novel scalable blockchain-based energy trading framework for cooperative microgrid systems, which include four planes, i.e., data plane, consensus plane, smart plane, and application plane. Different from the existing solutions without consideration of network transmission, these four planes are designed with the capability of perceiving the status of block generation and transmission over interrupted P2P networks, and thus proactively improving the consensus process to guarantee the reliability of energy trading in cooperative microgrids. Meanwhile, built on this framework, a novel redundant data exchange strategy is proposed to improve the scalability of block creation with the presence of large-scale RES penetration and interrupted and dynamic communication links. Simulation results show that the proposed system framework outperforms the benchmark blockchain solutions. Furthermore, we investigate the potential applications of the proposed solutions in the practical microgrid systems to facilitate a clear understanding of the mechanisms of the proposed solutions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Microgrids; Blockchains; Renewable energy sources; Informatics; Power markets; Peer-to-peer computing; Delays; Blockchain; energy trading; microgrid; redundant data exchange
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实验仿真
【DOI】 10.1109/TII.2021.3115576
CCF-C
【影响因子】11.648
【主题类别】
区块链应用-实体经济-工业领域
【Abstract】Recent evolution of the industrial Internet of Things empowers the classical manufacturing model with cloud computing integration for Industry 4.0. Cloud integration advances the capabilities of manufacturing systems with cloud-based controlling and real-time process monitoring, which is renowned as cloud manufacturing (CM). However, cloud integration exposes the entire manufacturing ecosystem to a new set of security risks and increments in end-to-end latency. Moving security services toward the edge eradicates message routing latency toward the cloud and eliminates the central point of failure while leveraging the entire system's performance. We propose a blockchain and fog-computing-enabled security service architecture that operates on fog nodes at the edge of manufacturing equipment clusters. The proposed service facilitates CM equipment authentication and equipment-cloud channel privacy protection while preserving anonymity and unlinkability over the blockchain. We implemented the proposed architecture with hyperledger fabric and compared the performance advantage over the state-of-the-art solutions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Manufacturing; Security; Cloud computing; Blockchains; Elliptic curves; Industrial Internet of Things; Computer architecture; 5G; blockchain; cloud manufacturing (CM); fog computing; hyperledger; Internet of things (IoT); security; smart contracts
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 理论模型
【DOI】 10.1109/TII.2022.3140792
【影响因子】10.275
【主题类别】
区块链应用-实体经济-电力领域
【Abstract】As an effective method to improve the reliability, the advanced communication infrastructure also exposes the islanded AC microgrid (MG) to potential privacy threats. Although the existing differential-privacy based secondary controls provide the privacy protection through adding noise, the noise would bring about large harmonic components thereby degrading the power quality. To tackle with this problem, a novel integrated privacy-preserving distributed fixed-time (PDF) secondary control of the islanded AC MG is proposed for the accurate frequency restoration and active power sharing. The state decomposition strategy and the additional virtual proportional (AVP) coefficient are innovatively designed to achieve the privacy preservation, where the active power ratio of each DG is decomposed into several sub-states. The integrated PDF secondary control only requires each DG to transmit the first sub-state of active power ratio through communication network, which would not increase the communication burden. The designed privacy-preserving mechanism can protect the initial value and real-time running values simultaneously when the AVP coefficient is not disclosed to the external eavesdropper. The real-time simulations based on the NI-PXI real-time simulator are conducted to validate the effectiveness and advantages of the integrated PDF secondary control.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Privacy; Real-time systems; Frequency control; Power quality; Graph theory; Convergence; Consensus algorithm; Privacy-preserving; distributed control; islanded AC MG; state decomposition
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实验仿真
【DOI】 10.1109/TSG.2022.3171267
【Author】 Wang, Yilei Li, Tao Liu, Ming Li, Chunmei Wang, Hui
CCF-C
【影响因子】8.993
【主题类别】
区块链治理-技术治理-异常/非法交易识别
【Abstract】Transaction data on the public chain is open and transparent to all participants, which poses a potential threat to the privacy of participants. Some privacy-conscious token holders want to employ obfuscation methods to protect the origin and destination of their tokens, and the need for token shuffling services (TSS) arose at a historical moment. The prevailing token shuffling policies rely too heavily on blacklists in the token shuffling process, which is contrary to the idea of decentralization. Therefore, weakening or even eliminating the usage of blacklisting mechanisms in TSSs, which is an urgent issue to be addressed. In this paper, we adopt the idea of machine learning and propose a general framework for TSSs, which replaces the natural role under incomplete information with machine learning, so as to achieve the goal of eliminating the blacklist mechanism in TSSs. Then, the token shuffling process is constructed as an extended game under incomplete information on the basis of different token shuffling policies, and this incomplete information game is analyzed on the basis of poison policy, haircut policy, and suicide policy respectively. Finally, the sequential equilibrium under different games is investigated through simulations. The simulation results show that in the incomplete information game based on the poison policy, the participation of two players in the TSS is a sequential equilibrium, while in the incomplete information game based on the haircut policy, the players do not participate in the TSS is an sequential equilibrium.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; incomplete information game; machine learning; token shuffling service
【发表时间】
【收录时间】2022-09-11
【文献类型】 实验仿真
【DOI】 10.1002/int.23033
【Author】 Yu, Yi Liu, Guo-Ping Zhou, Xingwei Hu, Wenshan
【影响因子】8.162
【主题类别】
区块链应用-实体经济-网安领域
【Abstract】Networked control systems (NCSs) are widely used in practical applications because of their flexibility in deployment. However, due to the dependence on the communication network, NCSs could be vulnerable to malicious cyberattacks. To address this problem, a novel blockchain technology-assisted networked predictive secure control approach is presented for the first time in this article. First, the introduction of blockchain technology brings a significant boost to the inherent resilience of the NCS in an active manner without relying on any prior knowledge of the system or potential attacks. However, blockchain technology would induce time delays unfavorable to the NCS, which could result in the low real-time performance of the control system. Subsequently, a networked Kalman filter-based predictive control is specially designed to compensate for the low real-time property of blockchain technology. A detailed analysis of the security and stability of the closed-loop NCS with the developed networked predictive secure controller is also presented, while sufficient conditions for the closed-loop system to be simultaneously stable and safe in a probabilistic sense are given. Finally, to verify the performance of the proposed approach in terms of practicality, an experimental prototype of a photovoltaic (PV)-based power generation system subjected to random cyber-attacks is built for voltage regulation.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Security; Distributed ledger; Real-time systems; Stability analysis; Peer-to-peer computing; Resistance; Blockchain protocol; cyberattacks; networked predictive control; networked secure control; stability
【发表时间】2023
【收录时间】2022-09-11
【文献类型】 理论模型
【DOI】 10.1109/TIE.2022.3148736
【影响因子】8.162
【主题类别】
区块链技术-平台项目-Hyperledger Fabric
区块链应用-实体经济-电力领域
【Abstract】The rapid development of Internet-of-Things in smart grid has enabled millions of grid-connected distributed controllable resources (DCR; e.g., electric vehicles, controllable loads) to provide service to the grid, such as frequency regulation and demand response. The integration of these DCRs may become a large virtual power plant network with various characteristics. This poses great challenges from both control and management perspectives, e.g., computation/communication burden, optimization complexity, scalability limitation, prosumer privacy, etc. In this article, we propose an effective autonomous incentive-based DCR control and management framework to integrate a large amount of DCRs to provide grid services, which simultaneously provides accurate active power adjustment to the grid, optimizes DCR allocations, and maximizes the profits for all prosumers and system operators. A model-free deep deterministic policy gradient-based method is designed to find the optimal incentives in a continuous action space to encourage prosumers to adjust their power consumptions. The method is implemented in a consortium open-source blockchain platform, Hyperledger Fabric, which facilitates controls and transaction management. To demonstrate the effectiveness of the framework, extensive experimental studies are conducted using real-world data.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Resource management; Costs; Batteries; Fabrics; Distributed ledger; Reliability; Blockchain; deep reinforcement learning; energy storage; renewable energy; virtual power plant
【发表时间】2023
【收录时间】2022-09-11
【文献类型】 理论模型
【DOI】 10.1109/TIE.2022.3146631
【影响因子】5.576
【主题类别】
区块链应用-实体经济-旅游领域
【Abstract】Purpose The purpose of this study is to empirically evaluate the potential of the blockchain technology in tourism. The blockchain technology (BCT) holds potential to contribute significantly to tourism policy and practice. Academic interest in the BCT is rapidly growing with studies looking at the opportunities and challenges of its application. The shortcoming of research on the BCT in tourism has however been in its conceptual nature. The lack of empirical investigations hinders an understanding of how the BCT can be more broadly adopted in tourism, especially from the viewpoint of minimizing its risks. Design/methodology/approach The initial screening of the opportunities, challenges and risks is undertaken via a systematic literature review. The Delphi study is subsequently applied to empirically confirm what opportunities, challenges and risks can be attributed to the BCT use in tourism. Twelve industry and academic experts have contributed to the Delphi study. Findings The risks identified have been categorized as societal, technical, financial and legal. Propositions have been made on how these risks can, at least partially, be overcome. Originality/value To the best of the authors' knowledge, it is the first known attempt to study the BCT from the perspective of academic and industry experts. This research is also one of the first to evaluate the risks of the BCT use in tourism. Most risks are identified as not critical and can be addressed as the BCT develops.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain technology; Distributed ledger; Cryptocurrencies; Delphi; Blockchain-based tourism; ???????????????????????????????
【发表时间】
【收录时间】2022-09-11
【文献类型】 实证数据
【影响因子】5.292
【主题类别】
区块链应用-实体经济-建筑领域
区块链治理-元分析-领域分析
【Abstract】The construction industry is becoming increasingly interested in blockchains, and relevant publications have blossomed in recent years. This study provided a state-of-the-art review of blockchain research in the industry in order to better comprehend the fast-evolving technology. A systematic method integrating quantitative and qualitative analyses was used to capture the research status, challenges, and future directions based on 141 publications published between 2017 and 2021. The distributions of 141 papers were quantitatively analyzed in terms of chronology, geography, journal, and research type. The majority of blockchain applications focused on the construction stage, while progress payment management and supply chain management were the top two topics. Different blockchain applications throughout the entire lifecycle of building projects were also introduced through qualitative analyses. Finally, this research indicated the challenges and future directions of blockchain research in the construction industry. This review provides valuable information to help construction researchers and practitioners understand blockchain research advances and better determine research opportunities.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Smart contracts; Construction industry; Systematic review; Building projects
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实证数据
【Author】 Shanaev, Savva Ghimire, Binam
【影响因子】4.324
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】This study develops a novel generalised seasonality test that utilises sequential dummy variable regressions for seasonality periodicity equal to prime numbers. It allows to test for existence of any seasonal patterns against the broad null hypothesis of no seasonality and to isolate most prominent seasonal cycles while using harmonic mean p-values to control for multiple testing. The proposed test has numerous applications in time series analysis. As an example, it is applied to identify seasonal patterns in 76 national stock markets and 772 cryptocurrency markets to detect trading cycles, determine their length, and test the weak-form efficient market hypothesis. Cryptocurrency markets are shown to be less efficient than national stock markets, with predominantly irregular seasonality periodicity that cannot be reduced to conventional weekly, monthly, or annual cycles.(c) 2022 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Market efficiency; Seasonality; Seasonality test
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 理论模型
【影响因子】3.752
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】A shift of paradigm is running over online social platforms: the over-centralization of these platforms is leaving room for decentralized solutions based on blockchain technologies, such as blockchain-based online social networks-BOSNs. Among the many unknown aspects of these techno-social systems, the objective of this study is to propose an analytical framework to assess the impact of the cryptocurrencies linked to a BOSN platform on the evolution of its social network and on the behavior of their users, in terms of production of content and/or its promotion through a voting and rewarding system. The framework has been applied to Steemit, one of the most widespread BOSNs, from which we collected three-year-long high-resolution data on its evolution along with the price of its main cryptocurrencies. On users' activities extracted from these longitudinal data, we applied a time-series correlation analysis and a correlation analysis between the action allocation strategies and the obtained rewards, in the case of most central accounts. The analysis has highlighted pieces of evidence of the influence of the cryptocurrency price on users' actions, particularly on actions that shape the structure of the social networks. Second, we also found highly rewarded users prefer actions related to the promotion of content rather than the creation of high-quality content, exploiting the reward distribution mechanisms implemented by the platform. These findings highlight that the shift of paradigm towards blockchain and cryptocurrency technologies might strengthen the influence of financial and economic factors rather than relational/social aspects on the evolution of these new complex techno-social systems.
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】2022-09-11
【文献类型】 实证数据
【Author】 Gordan, Meisam Siow, Pei Yi Deifalla, Ahmed Farouk Chao, Ong Zhi Ismail, Zubaidah Yee, Khoo Shin
【影响因子】3.476
【主题类别】
区块链技术-核心技术-分布式存储
【Abstract】Structural Health Monitoring (SHM) systems have widely been used to guarantee the safe functioning of electrical, mechanical, civil, and aerospace engineering assets. It is required to improve the SHM systems from different aspects in terms of smartification, performance, beneficiation, sustainment, automation, cost-effectivity, and safety using cutting-edge technologies. Blockchain is currently the most revolutionary technology in computer science. Implementation of Blockchain in different fields of academia and industry has recently given very good results. However, application of Blockchain in SHM is still in the infancy stage. Therefore, many challenges are still ahead. One of the main potential applications of Blockchain is to secure the sensor data. In this study, a local Blockchain approach is developed as a secure storage using the extracted Principal Components (PCs) of Frequency Response Function (FRF) data obtained from modal analysis of a plate-like structure. In general, Secure Hash Algorithm (SHA) is one of the most practical hash functions with efficient performance which has been employed in Bitcoin. Therefore, in this research, SHA-256 is considered to generate the hash for each block. To the best of our knowledge, this is the first attempt to develop a secure storage for SHM data using Blockchain.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Data mining; Fourth Industrial Revolution; Big Data; Storage management; Vibration measurement; Data security; Frequency response; Principal component analysis; Biomedical monitoring; Medical services; Blockchain; data security; frequency response function; industry 40; modal analysis; principal component analysis; structural health monitoring; big data
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 理论模型
【Author】 Jia, Xuedan Song, Xiangmei Sohail, Muhammad
【影响因子】2.940
【主题类别】
区块链应用-实体经济-时尚领域
【Abstract】In a traditional electronic auction, the centralized auctioneer and decentralized bidders are in an asymmetric structure, where the auctioneer has more ability to decide the auction result. This asymmetric auction structure is not fair to the participants and not suitable for data auctions in the Internet of Things (IoT). The blockchain-based auction system, with participant equality and fairness, is typically symmetrical and particularly suitable for IoT data sharing. However, when applied to IoT data sharing in reality, it faces privacy and efficiency problems. In this context, how to guarantee privacy and break the inherent performance bottleneck of blockchain is still a major challenge. In this paper, a consensus-based distributed auction scheme is proposed for data sharing, which enforces privacy preservation and collusion resistance. A reverse auction-based decentralized data trading model is introduced to solve the trust problem without a centralized auctioneer, where bidders reach consensus on the auction result. Specifically, we devise a differentially private auction mechanism to incentivize data owners to participate in data sharing. An effective hybrid consensus algorithm is constructed among bidders to reach consensus on the auction result with improved security and efficiency. Theoretical analysis shows that the proposed scheme ensures the properties of privacy preservation, incentive compatibility and collusion resistance. Experimental results reveal that the proposed mechanism guarantees the data sharing efficiency and has certain scalability.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】distributed auction system; consensus mechanism; privacy preservation; data sharing; Internet of Things
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实验仿真
【DOI】 10.3390/sym14081664
【影响因子】2.838
【主题类别】
区块链应用-实体经济-农牧领域
区块链治理-元分析-领域分析
【Abstract】Blockchain is a distributed, immutable ledger technology initially developed to secure cryptocurrency transactions. Following its revolutionary use in cryptocurrencies, blockchain solutions are now being proposed to address various problems in different domains, and it is currently one of the most "disruptive" technologies. This paper presents a scoping review of the scientific literature for exploring the current research area of blockchain applications in the agricultural sector. The aim is to identify the service areas of agriculture where blockchain is used, the blockchain technology used, the data stored in it, its combination with external databases, the reason it is used, and the variety of agricultural products, as well as the level of maturity of the respective approaches. The study follows the PRISMA-ScR methodology. The purpose of conducting these scoping reviews is to identify the evidence in this field and clarify the key concepts. The literature search was conducted in April 2021 using Scopus and Google Scholar, and a systematic selection process identified 104 research articles for detailed study. Our findings show that in the field, although still in the early stages, with the majority of the studies in the design phase, several experiments have been conducted, so a significant percentage of the work is in the implementation or piloting phase. Finally, our research shows that the use of blockchain in this domain mainly concerns the integrity of agricultural production records, the monitoring of production steps, and the monitoring of products. However, other varied and remarkable blockchain applications include incentive mechanisms, a circular economy, data privacy, product certification, and reputation systems. This study is the first scoping review in this area, following a formal systematic literature review methodology and answering research questions that have not yet been addressed.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; distributed ledger technology; agriculture; scoping review; PRISMA-ScR
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实证数据
【DOI】 10.3390/app12168061
【Author】 Chen, Runyu Wang, Lunwen Zhu, Rangang
【影响因子】2.738
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】The Delegated Proof of Stake (DPoS) consensus mechanism uses the power of stakeholders to not only vote in a fair and democratic way to solve a consensus problem, but also reduce resource waste to a certain extent. However, the fixed number of member nodes and single voting type will affect the security of the whole system. In order to reduce the negative impact of the above problems, a new consensus algorithm based on vague set and node impact factors is proposed. We first use fuzzy values to calculate the ratings of all nodes and initially determine the number of agent nodes according to the preset threshold value. Then, we judge whether a secondary screening is needed. If needed, calculating the nodes' impact factor based on their neighboring nodes, and combining their impact factors with adjacency votes to further distinguish the nodes with the same fuzzy value. In addition, we analyze the dynamic changes in the composition and scale of the agent node set and give its ideal size through testing. Finally, we compare the proposed algorithm with DPoS algorithm and existing fuzzy set-based algorithms in different scales and network structures. Results show that no matter in what kind of network structures, the effectiveness of the proposed algorithm is improved. Among which, the most noticeable improvement is seen in complex network structures.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; consensus mechanism; DPoS; vague set; fuzzy value; impact factor
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实验仿真
【DOI】 10.3390/e24081013
【Author】 Sharma, Chetan Sharma, Shamneesh Sakshi
CCF-C
【影响因子】2.577
【主题类别】
区块链治理-元分析-主题识别
【Abstract】The past decade is known as the era of integrations where multiple technologies had integrated, and new research trends were seen. The security of data and information in the digital world has been a challenge to everyone; Blockchain technology has attracted many researchers in these scenarios. This paper focuses on finding the current trends in Blockchain technology to help the researchers select an area to carry future research. The data related to Blockchain Technologies have been collected from IEEE, Springer, ACM, and other digital databases. Then, the formulated corpus is used for topic modelling, and Latent Dirichlet Allocation is deployed. The outcomes of the Latent Dirichlet Allocation model are then analyzed based on various extracted key terms and key documents found for each topic. All the topic solution has been identified from the bag of words. The extracted topics are thereafter semantically mapped. Thus, based on the analysis of more than 900 papers, the most recent research trends have been discussed in this paper, ultimately focusing on the areas that need more attention from the research community. Also, the meta data analysis has been accomplished, evaluating the year wise and publication source wise research growth. More than 15 research directions are elaborated in this paper, which can direct and guide the researchers to pursuit the research in specific trends and also, find the research gaps in various technologies associated with Blockchain Technology.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Security; Ledger; LDA; Cryptocurrency; Topic modelling
【发表时间】
【收录时间】2022-09-11
【文献类型】 综述
CCF-C
【影响因子】2.146
【主题类别】
区块链应用-实体经济-交通领域
【Abstract】Ride-sharing services, such as ride-hailing and carpooling, have become attractive travel patterns for worldwide users. Due to the high dynamic topology, heterogeneous wireless communication mode, and centralization, the Internet of Vehicles (IoV) is much more vulnerable to security issues such as privacy theft, single point of failure, data island, and unauthorized access, resulting in great security risks, while ride-sharing services provide convenience. Blockchain technology used to solve the security problems of the IoV has become a current research hotspot, including authentication and privacy protection. Nevertheless, the existing algorithms still face challenges such as large amount of computation, low throughput, low scalability, consensus, and node security. Achieving an efficient, lightweight, and scalable secure blockchain-based IoV system still needs to be solved urgently. In this paper, we propose an effective consensus algorithm called Modified Proof of Reputation (MPoR). Firstly, by using the average network access time of the whole network nodes as the filtering threshold, the number of consensus nodes can be controlled adaptively. Then, a new multiweight reputation algorithm is proposed to quantify the reputation value of nodes, so as to detect and eliminate malicious nodes in the consensus node pool. Theoretical analysis and extensive simulation experiments reflect that under the IoV scenario, MPoR can adaptively select the number of consensus nodes, to effectively improve the consensus efficiency. When malicious nodes are less than 1/3 of the total nodes in the network, MPoR can effectively resist latent attack and collusive attack and has strong robustness.
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】2022-09-11
【文献类型】 实验仿真
【DOI】 10.1155/2022/1644851
【影响因子】1.882
【主题类别】
区块链技术-核心技术-区块传输
【Abstract】Nowadays, Blockchain technology has received widespread attention because of its ability to effectively solve the trust problem in transactions. However, the throughput of crypto currency using Blockchain technology has never been comparable to that of centralized payment institutions. The fundamental reason is the architecture of the Blockchain itself, and the existing methods often focus on the part of the Blockchain but lack the overall control. In this paper, we design, a novel Recursively Reinforced Blockchain Architecture Search (BORAS) architecture, from the perspective of the overall structure of the Blockchain, which can search the various attributes of the various levels in a adaptive manner, aiming at selecting the best configuration in a dynamical environment. First, we introduce a recursive and scalable reinforcement learning framework, to find the optimal block size and block interval of the Blockchain, so as to improve the throughput of the Blockchain system. Second, we add the selection scheme of consensus algorithm to the dynamic space and also use the framework to select the optimal consensus mechanism to realize the optimal configuration of the Blockchain system in the dynamic environment. Third, we adopt a recursive method, which greatly reduces the time complexity required for the optimal configuration of the Blockchain system and improves the configuration efficiency. Comprehensive experiments on three representative Blockchain platforms demonstrate that BOBAS can consistently improve the throughput, while also reducing latency, with remarkable and efficient performances.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; recursive optimization; reinforcement learning
【发表时间】
【收录时间】2022-09-11
【文献类型】 理论模型
【DOI】 10.1002/dac.5315
【Author】 Atiles, Jose
【影响因子】1.763
【主题类别】
区块链治理-法律治理-数字货币监管
【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】2022-09-11
【文献类型】 观点阐述
【DOI】 10.1215/00382876-9826032
【Author】 Proell, Birgit Retschitzegger, Werner Schwinger, Wieland Shmeleva, Tatiana R. Zaitsev, Dmitry A.
【影响因子】0.000
【主题类别】
区块链技术-核心技术-共识机制
【Abstract】Proof-of-work agreement protocol, offered by Keller and Bohme, is analysed by coloured Petri nets and refined. Blockchain technology, based on proof-of-work procedure and Nakomoto consensus negotiations, represents fundamentals of many kinds of cryptocurrency widespread recently. The protocol, called A(k), works in continuous time which is simulated using random exponential distribution function of CPN Tools system, obtained values rounded to map them into discrete time of a coloured Petri net. Hierarchical model consists of an environment subnet and a given number of nodes communicating via an unstructured network represented by a single place; the model of node is further structured based on event handlers of the protocol source specification such as initialisation, activation, message delivering, and termination condition check. Based on the simulation results, modifications of the protocol and its parameters are recommended which improve some imperfections of the protocol. [GRAPHICS]
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; consensus; proof-of-work; refinement; coloured Petri net
【发表时间】
【收录时间】2022-09-11
【文献类型】 实验仿真
【Author】 Armah, Mohammed Amewu, Godfred Bossman, Ahmed
【影响因子】0.000
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】We examine the time-frequency lead-lag relationships and the degree of integration between the US financial stress index and global commodity prices (i.e., oil, gold, silver, and cocoa) with data covering over 47 decades (January 1975 to December 2021). For this purpose, we resort to the bi- and multiple wavelet econometric approaches. Findings from the bivariate wavelet analysis evidence the significant influence of the US financial stress in driving the price-generating process in commodities markets. Our findings support the hedging abilities of commodities across the time-frequency space. Findings from the multiple correlations explicate that the interrelation between the commodities and financial stress is attributable to their interdependence in the long term during financial market meltdowns. The dynamic and nonhomogeneous lead/lag relations underscored by our findings highlight the importance of cross-commodity investments. As such, by acknowledging the response of different commodities to financial stress, asset allocation should factor in commodities that offer opposing responses to a financial stress to hedge downside risks associated with portfolios. Our findings are of interest to regulators, risk managers, investors, and commodities producers.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】financial stress; global commodities prices; commodity financialisation; bivariate wavelet; wavelet multiple correlations; interdependence
【发表时间】2022
【收录时间】2022-09-11
【文献类型】 实证数据
【作者】 张磊;潘辉;
【作者单位】宁波财经学院象山影视学院;华南理工大学图书馆;
【文献来源】图书馆论坛
【复合影响因子】2.553
【综合影响因子】1.900
【主题类别】
区块链应用-虚拟经济-元宇宙
【摘要】以VR为代表的高沉浸度交互模式最可能成为元宇宙虚拟世界的入口，研究元宇宙赋能下VR阅读用户交互行为是元宇宙赋能图书馆服务创新的突破口。以元宇宙赋能为背景，文章分析VR阅读用户交互行为过程机理并构建系统模型，探讨VR阅读用户交互行为特征；综合运用定性定量分析法，结合元宇宙应用场景，分析VR阅读用户交互行为影响因素，验证影响因素概念模型；基于过程机理系统模型和影响因素研究结果，提出元宇宙赋能下VR阅读用户交互效果评价方法，通过实证检验评价方法的科学性；从阅读模式与服务创新、阅读用户信息能力提升两个方面提出元宇宙赋能下VR阅读用户交互的创新服务策略。
【关键词】VR阅读;;用户交互行为;;元宇宙;;影响因素
【文献类型】 实证数据
【发表时间】2022-09-11
【作者】 时坤;周勇;张启亮;姜顺荣;
【作者单位】中国矿业大学计算机科学与技术学院;徐工汉云技术股份有限公司;
【文献来源】计算机科学
【复合影响因子】1.722
【综合影响因子】1.149
【主题类别】
区块链技术-协同技术-隐私计算
【摘要】区块链技术可以有效地解决分布式能源交易系统中的信任缺失、恶意篡改和虚假交易等问题，但区块链开放、透明的特性使得基于区块链的能源交易系统极易受到攻击，导致用户隐私泄露。为此提出了一种基于差分隐私算法和账户映射技术的隐私保护方案BLDP-AM（Blockchain Local Differential Privacy-Account Mapping）来保护交易数据的隐私。该方案重新设计了本地差分隐私算法的数据扰动机制使之适用于区块链技术，并基于该扰动机制构造了BLDP（Blockchain Local Differential Privacy）算法来保护交易数据的隐私。同时为了保证交易正确性以及隐藏交易曲线特征，该方案首先通过账户映射（Account Mapping，AM）技术实现用户与多个账户关联，然后采用指数平滑预测（Exponential Smoothing Prediction，ESP）算法计算各账户的交易预测值，最后使用BLDP算法扰动交易预测值以获得真实交易值并进行交易。通过隐私分析证明了该方案在保护数据隐私方面的可行性，且实验分析表明该方案具有较好的性能。
【关键词】能源交易系统;;区块链;;本地差分隐私;;账户映射;;指数平滑预测
【文献类型】 实验仿真
【发表时间】2022-09-11
【作者】 陆岷峰;
【作者单位】南京工业大学互联网金融创新发展研究中心;
【文献来源】南方金融
【复合影响因子】
【综合影响因子】
【主题类别】
区块链应用-虚拟经济-元宇宙
【摘要】元宇宙作为目前互联网技术中最高层级的形态，在金融领域有非常广阔的应用前景。依托其虚实结合、沉浸式消费、人机协同等优势，元宇宙金融不仅能实现金融业务线上化，还能为客户提供沉浸式体验，提高服务质量；元宇宙将改变传统金融相对被动的管理模式，实现金融管理的主动化和精准化；元宇宙将打破传统金融面临的时空限制，为客户提供高效率、高品质的金融服务；元宇宙将丰富金融机构管理金融风险的手段和方式，提高风险管理的主动性。推动元宇宙技术在金融领域的应用，应构建利于元宇宙技术应用的金融管理体制与机制，打造元宇宙金融服务平台，构建虚实结构的金融服务世界，培育和管理好数字机器人员工队伍，提升金融业务各参与主体的沉浸式消费感，防止虚拟世界的管理风险外溢，推动元宇宙在金融领域各项业务的有序、有效地应用。
【关键词】金融科技;;元宇宙;;互联网技术;;金融创新;;数字金融;;金融数字化
【文献类型】 观点阐述
【发表时间】2022-09-11
【作者】 张立亚;李晨鑫;刘斌;姜玉峰;
【作者单位】煤炭科学技术研究院有限公司;国家能源集团宁夏煤业有限责任公司双马一矿;
【文献来源】工矿自动化
【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-能源领域
【摘要】矿山物联网规模大和海量数据传输的特点使得传统的网络安全和隐私防护方法无法保障关键数据的可溯源性和可信度。分析认为目前矿山物联网面临的主要安全风险是缺少数据传输可追溯性和可行性保障机制、缺少系统设备全面的签名验签保障机制、系统架构中缺少安全载体部署。指出区块链技术可解决上述问题，分析了矿山物联网区块链结构、加密算法、共识机制等关键技术。提出了矿山物联网区块链机制：在矿山物联网感知层与传输层之间增加具备边缘算力的边缘层，部署承载区块链核心功能的安全载体，构建矿山物联网区块链部署架构；设计了矿山物联网区块链机制下的数据传输流程，采用非对称加密技术保证数据传输的安全性；在矿山物联网应用层采用数据链管理平台实现关键数据上链、数据溯源、分布式存证等功能。矿山物联网区块链机制可提高矿山物联网的信息安全保障能力和安全等级，满足等保2.0中的扩展要求，降低对集中化运维的需求。
【关键词】矿山物联网;;网络安全;;区块链;;边缘计算;;安全载体;;数据溯源
【文献类型】 理论模型
【发表时间】2022-09-11