【影响因子】9.030
【主题类别】
区块链技术-协同技术-物联网
【Abstract】The rapid merge of Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies atop the fifth generation and beyond (B5G) communication networks is envisioned to promote Next Generation Networks (NGNs), which aim for a large-scale, high-dimensional, intelligent, decentralized, and autonomous network infrastructure for complex and heterogeneous IoT ecosystems. To develop such an ecosystem, highly connected devices and user-defined applications bring serious connectivity, security, scalability, and interoperability issues to fragmented and isolated domain-specific autonomous networks. This article presents a Secure Interconnected Autonomous System Architecture (SIASA), which combines Software Defined Network (SDN) with the hierarchical blockchain federation to improve dynamicity, scalability, and interoperability for multi-domain IoT networks. Through softwarization and virtualization provided by network slicing (NS), a logic IoT ecosystem consists of multiple isolated physical networks as autonomous systems (ASs) that rely on heterogeneous blockchains to provide decentralization and security for each domain. SIASA adopts a hierarchical network of federated blockchains for inter-blockchain communication. In addition, an intelligent SDN-enabled Blockchain gateway framework is proposed to support scalable and secure transactions and data-sharing operations among interconnected autonomous systems. The experimental results based on a preliminary proof-of-concept prototype verify the feasibility of the proposed SIASA architecture in terms of end-to-end latency and throughput in the inter-blockchain scene.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Autonomous networks; Scalability; Ecosystems; Computer architecture; Logic gates; Blockchains; Security; Autonomous systems; Internet of Things; Artificial intelligence
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 实验仿真
【DOI】 10.1109/MCOM.001.2300354
【影响因子】9.030
【主题类别】
区块链应用-实体经济-物联网
【Abstract】Recently, resource trading has been regarded as a promising solution to deal with the resource scarcity of Internet-of-Things devices (IoTDs) to meet the performance requirements of sixth-generation (6G) networks. As 6G networks evolve to support diverse applications across multiple domains, trading of resources becomes essential to ensure efficient allocation and utilization of resources. However, ensuring transaction security and trust among traders and determining the best trading strategy for mobile virtual network operators (MVNOs) and IoTDs are challenging tasks. In this article, we first explore the resource trading literature and the types of resources IoTDs want to trade. Second, we investigate the trading strategies and pricing models for resource trading in 6G. Third, we present an artificial intelligence (AI)-native blockchain for multidomain resource trading (ABMRT) framework combining blockchain, AI approaches, and trading models that involve multiple MVNOs and IoTDs with varying service demands. The proposed framework is designed to support the diversified resource requirements of the IoTDs in a multidomain trading scenario. Finally, we discuss some challenges and future directions of resource trading in 6G networks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】6G mobile communication; Performance evaluation; Heuristic algorithms; Pricing; Blockchains; Security; Resource management; Artificial intelligence
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 理论模型
【DOI】 10.1109/MCOM.001.2300340
【影响因子】9.018
【主题类别】
区块链应用-实体经济-数据管理
【Abstract】The management of social manufacturing networks (SMN) faces sophisticated situations due to the customer's personalisation demands, leading to reduced trust among entities. Therefore, credible and authorised data sharing among different participants becomes vital to operate SMN well. Although blockchain has been applied to SMN to ensure credibility and authority, there is little work on how to configure and optimise a blockchain network for SMN, especially when the structure of SMN changes over time. This paper discusses an automatic blockchain network configuration and optimisation mechanism to enable credible and authorised data sharing in SMN. First, a system architecture for automatic blockchain network configuration and optimisation is built. Then, the structure of SMN and blockchain network model are established using complex network and hypergraph. Then, an automatic blockchain network configuration mechanism is studied to configure blockchain networks from certain SMN structures. Afterward, an automatic blockchain network optimisation mechanism is studied to optimise blockchain networks for SMN when dynamic events occur. Finally, the mechanisms are validated through a case study of SMN to produce air conditioners. The results show that our mechanisms can help core enterprises efficiently deploy a blockchain network for credible and authorised data sharing among different participants in the SMN.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Social manufacturing network; blockchain network; credible interaction; configuration mechanism; optimisation mechanism
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 案例研究
【影响因子】3.860
【主题类别】
区块链应用-实体经济-支付领域
【Abstract】As big data, Artificial Intelligence, and Vehicle-to-Everything (V2X) communication have advanced, Intelligent Transportation Systems (ITS) are being developed to enable efficient and safe transportation systems. Electronic Toll Collection (ETC), which is one of the services included in ITS systems, is an automated system that allows vehicles to pass through toll plazas without stopping for manual payment. The ETC system is widely deployed on highways due to its contribution to stabilizing the overall traffic system flow. To ensure secure and efficient toll payments, designing a distributed model for sharing toll payment information among untrusted toll service providers is necessary. However, the current ETC system operates under a centralized model. Additionally, both toll service providers and toll plazas know the toll usage history of vehicles. It raises concerns about revealing the entire driving routes and patterns of vehicles. To address these issues, blockchain technology, suitable for secure data management and data sharing in distributed systems, is being applied to the ETC system. Blockchain enables efficient and transparent management of ETC information. Nevertheless, the public nature of blockchain poses a challenge where users' usage records are exposed to all participants. To tackle this, we propose a blockchainbased toll ticket model named AnonymousTollPass that considers the privacy of vehicles. The proposed model utilizes traceable ring signatures to provide unlinkability between tickets used by a vehicle and prevent the identity of the vehicle using the ticket from being identified among the ring members for the ticket. Furthermore, malicious vehicles' identities can be traced when they attempt to reuse tickets. By conducting simulations, we show the effectiveness of the proposed model and demonstrate that gas fees required for executing the proposed smart contracts are only 10% (when the ring size is 50) of the fees required in previous studies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; electronic toll collection; smart contract; traceable ring signature
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 实验仿真
【DOI】 10.32604/cmc.2024.050461
【Author】 Noh, Siwan Rhee, Kyung-Hyune
【影响因子】3.860
【主题类别】
区块链技术-协同技术-去中心化机器学习
【Abstract】In Decentralized Machine Learning (DML) systems, system participants contribute their resources to assist others in developing machine learning solutions. Identifying malicious contributions in DML systems is challenging, which has led to the exploration of blockchain technology. Blockchain leverages its transparency and immutability to record the provenance and reliability of training data. However, storing massive datasets or implementing model evaluation processes on smart contracts incurs high computational costs. Additionally, current research on preventing malicious contributions in DML systems primarily focuses on protecting models from being exploited by workers who contribute incorrect or misleading data. However, less attention has been paid to the scenario where malicious requesters intentionally manipulate test data during evaluation to gain an unfair advantage. This paper proposes a transparent and accountable training data sharing method that securely shares data among potentially malicious system participants. First, we introduce a blockchain-based DML system architecture that supports secure training data sharing through the IPFS network. Second, we design a blockchain smart contract to transparently split training datasets into training and test datasets, respectively, without involving system participants. Under the system, transparent and accountable training data sharing can be achieved with attributebased proxy re-encryption. We demonstrate the security analysis for the system, and conduct experiments on the Ethereum and IPFS platforms to show the feasibility and practicality of the system.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Decentralized machine learning; data accountability; dataset sharing
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 实验仿真
【DOI】 10.32604/cmc.2024.050949
【Author】 Awal, Md. Rabiul Chowdhury, Md. Solaiman
【影响因子】3.776
【主题类别】
区块链治理-市场治理-技术采用
【Abstract】This paper explores how digital entrepreneurs' intention toward blockchain technology adoption, perception of reduced costs, and knowledge of Artificial Intelligence impact achieving UN's Sustainable Development Goals (SDGs), drawing attention from various sectors. Present study applies explanatory sequential mixed method for data collection. Moreover, to work with the dual face patterned data, PLS-SEM is used to perform quantitative analysis of the data collected from 389 digital entrepreneurs who are chosen through purposive sampling and then content analysis is performed for the qualitative data according to the explanatory sequential mixed method's rule of thumb. The study's quantitative phase shows that factors such as perceived ease of use and usefulness of Industry 4.0 technologies, knowledge of artificial intelligence (KAI), and perception of reduced cost positively influence digital entrepreneurs' intention to adopt blockchain technology (BCT). Notably, KAI has the strongest impact. In the qualitative phase, it's found that digital entrepreneurs' KAI and willingness to adopt BCT strongly align with achieving several UN Sustainable Development Goals (SDGs), suggesting BCT adoption's potential for sustainable outcomes. The outcomes of this study set a new benchmark in the domain of SDGs achievement with careful integration to Industry 4.0, AI and BCT. This study results undoubtedly instigate the digital entrepreneurs to adopt BCT in doing their start-up and convince the policymakers to set regulatory landscape with convenient environment for the utilization of BCT which then ultimately accelerates the achievement of SDGs.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Industry 4.0; Blockchain technology; Digital entrepreneurs; SDGs; Artificial intelligence
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 实证数据
【影响因子】0.568
【主题类别】
区块链应用-实体经济-电力领域
【Abstract】In order to study the application of blockchain technology in power instrument and equipment management, this paper focuses on the impact of blockchain technology on power instrument and equipment management. Through the analysis of the comprehensive efficiency, overall effect and coupling degree of common technology and blockchain technology in power equipment management, it is found that the analysis and research using blockchain technology is better than the previous common technology. At the same time, the blockchain technology realises the purpose of unified management through the collection and distribution of equipment operation data parameters. Research has proved that promoting the integration of blockchain technology and power instrument and equipment management can better improve the efficiency of equipment operation.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; power equipment; technical study; device management; data analysis
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 实证数据
【影响因子】
【主题类别】
区块链应用-实体经济-物联网
【Abstract】The Internet of Things (IoT) constitutes a network of physical objects, including devices and systems, capable of intercommunication both among themselves and with external systems via the Internet. Its applications span across various sectors such as manufacturing, medicine, commerce, security, forestry and agriculture. The application of IoT in agriculture involves gathering data from diverse sensors, offering timely and precise solutions. This technology facilitates the reduction of manual labour involved in tasks like animal monitoring, greenhouse management and field surveillance. Integrated sensors within the IoT framework enable the collection of data pertaining to soil, air, water, animal tracking, plant growth and other relevant metrics. Nevertheless, the swift evolution of IoT presents a susceptibility to unauthorized access and compromises in data security. To address this concern, the utilization of blockchain technology has been recommended. This paper proposes a novel IoT architecture integrated with blockchain technology to enhance data security in agricultural applications. A detailed schematic has been devised and implemented in software to illustrate this approach.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】agriculture; blockchain; cybersecurity; IoT; sensor; server/client network
【发表时间】2024
【收录时间】2024-07-22
【文献类型】 理论模型
【DOI】 10.1002/sres.3048
【作者】 刘雨杉; 李英娜; 陈志祥; 李进成; 付国庆
【作者单位】昆明理工大学信息工程与自动化学院云南省人工智能重点实验室;
【文献来源】四川大学学报(自然科学版)
【复合影响因子】
【综合影响因子】
【主题类别】
区块链技术-平台项目-区块链网络
【摘要】为了解决DPOS共识算法(Delegated Proof of Stake,股份授权证明机制)吞吐性能不足的问题,本文提出加权指标动态均衡算法(DPOS with weighted Index Dynamically Balancing,DPOS+IDB).该算法首先利用区块链的通道机制,将带有不同标签的交易分配到不同的区块链通道中.然后对每一个区块链通道,分别进程参数配置优化.最终,将参数配置优化问题,转化为对多个指标求解整体最优解问题.通过优化参数配置,提高区块链通道的吞吐性能.由于求解过程中,需要在多个指标可行范围内进搜索,求解空间过大.为此,设计动态均衡搜索算法进行求解,利用求解的结果对区块链网络进行优化配置,提高提高区块链网络的性能.仿真表明,对比原始DPOS算法、CE-DPOS(Comprehensive Election-DPOS,综合选举)算法和RC-DPOS(Reputation Classification-DPOS,名誉分级)算法,DPOS+IDB算法在时延、吞吐率有较好的性能表现,并且通讯开销的复杂度由节点数量的平方降低至节点数量的一次方.
【关键词】区块链;;DPOS;;性能优化;;动态均衡算法
【文献类型】 实验仿真
【发表时间】2024-07-22