【影响因子】9.030
【主题类别】
区块链技术-协同技术-深度学习
区块链应用-实体经济-通信领域
【Abstract】The recent technological advancements in wireless communication systems and the Internet of Things (IoT) have accelerated the development of zero touch networks (ZTNs). ZTNs provide self-monitoring, self-configuring, and automated service-level policies that cannot be fulfilled by the traditional network management and orchestration approaches. Despite the hype, the majority of data exchange between participating entities occurs over insecure public channels, which present a number of possible security risks and attacks. Toward this end, we first analyze the attack surface on IoT-enabled ZTNs and the inherent architectural flaws for such threats. After an overview of attack surface, this article presents a new deep-learning- and blockchain-assisted case study for secure data sharing in ZTNs. Specifically, first, we design a novel variational autoencoder (VAE) and attention-based gated recurrent units (AGRU)-based intrusion detection system (IDS) for ZTNs. Second, a novel authentication protocol that combines blockchain, smart contracts (SCs), elliptic curve cryptography (ECC), and a proof of authority (PoA) consensus mechanism is developed to improve secure data sharing in ZTNs. The extensive experimental results show the effectiveness of the proposed approach. Lastly, this work discusses critical issues, opportunities, and open research directions to solve these challenges.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Servers; Security; Internet of Things; Feature extraction; Deep learning; Logic gates
【发表时间】2023
【收录时间】2023-04-26
【文献类型】 理论模型
【DOI】 10.1109/MCOM.001.2200294
【Author】 Jiang, Yu Xu, Xiaolong Xiao, Fu
CCF-C
【影响因子】4.758
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】In medical scenarios supported by edge clouds, it is difficult for patients to truly gain ownership of their electronic health records (EHRs). However, it is easy for doctors to modify hospital data to deny incorrect treatment records, which makes it difficult to protect the rights of patients. To improve patient control over EHRs, an attribute-based encryption protection scheme named CEC-ABE for EHRs combined with a blockchain is proposed to protect EHRs in edge cloud environments. In this scheme, the agreement process between the patient and the hospital is completed before the ABE stage, and the treatment information, including the treatment time, treatment doctor and additional information, is confidentially transmitted through an encryption algorithm. By storing the uploaded encrypted data in the blockchain in the form of transaction records, the integrity of the data is guaranteed, which facilitates the traceability of EHR generation. Access to EHRs is controlled by the ABE scheme of the outsourced ciphertext policy, and fine-grained attribute revocation can be employed to ensure the security of the ciphertext. The CEC-ABE algorithm, CP-ABE algorithm and other algorithms are experimentally tested, and the computational cost of each stage of the algorithms and the computational delay of each role are compared. CEC-ABE can significantly improve performance in key generation, outsourced decryption and other stages. Compared with the algorithm whose performance is second only to CEC-ABE, it reduces the computational overhead by 1.73% and 5.2%. The results show that the overall comprehensive performance of the CEC-ABE algorithm is better than that of the other algorithms.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Encryption; Cloud computing; Servers; Access control; Edge computing; Costs; ABE; blockchain; EHR; outsourced ciphertext; traceability
【发表时间】2022
【收录时间】2023-04-26
【文献类型】 理论模型
【Author】 Sathiya, V. Nagalakshmi, K. Jeevamalar, J. Babu, R. Anand Karthi, R. Acevedo-Duque, Angel Lavanya, R. Ramabalan, S.
【影响因子】4.641
【主题类别】
区块链应用-实体经济-供应链
【Abstract】The COVID-19 (Corona virus disease 2019) pandemic continues to slash through the entire humanity on the earth causing an international health crisis and financial uncertainty. The pandemic has formed a colossal disruption in supply chain networks. It has caused piling higher mortality in patients with comorbidities and generated a surging demand for critical care equipment, vaccines, pharmaceuticals, and cutting-edge technol-ogies. Personal protective equipment, masks, ventilators, testing kits, and even commodities required for daily care have been scarce as lockdown and social distancing guidelines have kicked in. Amidst COVID-19, imple-menting and executing key processes of the healthcare supply chain (HSC) in a secured, trusted, effective, universally manageable, and the traceable way is perplexing owing to the fragile nature of the HSC, which is susceptible to redundant efforts and systemic risks that can lead to adverse impacts on consumer health and safety. Though the crisis shone a harsh light on the cracks and weaknesses of the HSC, it brings some significant insights into how HSC can be made more resilient and how healthcare industries figure out solutions to mitigate disruptions. While there are innumerable experiences learned from the disruption of this crisis, in this paper, five important areas to analyze the most vital and immediate HSC enhancements including building a resilient supply chain, thinking localization, implementing reliable reverse logistics, breaking down extant silos to achieve end -to-end visibility, and redesigning HSC using digitalization are emphasized. This work identifies important fea-tures related to CoT and HSC. Also, this study links these lessons to a potential solution through Chain of Things (CoT) technology. CoT technology provides a better way to monitor HSC products by integrating the Internet of Things (IoT) with blockchain networks. However, such an integrated solution should not only focus on the required features and aspects but also on the correlation among different features. The major objective of this study is to reveal the influence path of CoT on smart HSC development. Hence, this study exploits (i) fuzzy set theory to eliminate redundant and unrelated features; (ii) the Decision-Making and Experimental Evaluation Laboratory (DEMATEL) method to handle the intricate correlation among different features. This fuzzy-DEMATEL (F-DEMATEL) model attempts to direct CoT technology towards smart HSC by identifying the most influencing factors and investors are recommended to contribute to the development of application systems. This work also demonstrates how CoT can act a vital role in handling the HSC issues triggered by the pandemic now and in the post-COVID-19 world. Also, this work proposes different CoT design patterns for increasing oppor-tunities in the HSC network and applied them as imperative solutions for major challenges related to traditional HSC networks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain technology; Chain of things; Healthcare supply chain; Internet of things; Localization; Resilient supply chain; Reverse logistics
【发表时间】2023
【收录时间】2023-04-26
【文献类型】 实证数据
【影响因子】3.858
【主题类别】
区块链技术-协同技术-物联网
区块链应用-实体经济-电力领域
区块链技术-协同技术-IPFS
【Abstract】With the economic and social development of China, the scale of the power grid continues to expand. Rapid location and diagnosis of power failures have become significant for China to maintain its stable development of power system. In recent years, the Internet of Things (IoT) based on 5G technology has been applied to power grid more widely. Meanwhile, given the fact that the blockchain is traceable and tamper-resistant, the combination of the blockchain and IoT is considered to locate power failures quickly and assist professional maintenance personnel to deduce the cause of failures, minimizing economic loss. With the foundation of IoT sensor node data, this paper designs a decentralized electronic certificate scheme based on blockchain and Interplanetary File System (IPFS) to collect data of each node of the power system and store it in the blockchain. The model of data sharding, storage and certificate optimizes the utilization of storage space of the blockchain, reducing the time required for system access to nodes. Traceability of data stored on blockchain data is employed to quickly and accurately trace faults of the power system, providing strong technical support for the safe and stable operation of China's power system.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; IPFS; internet of things; power failures; fault location
【发表时间】2023
【收录时间】2023-04-26
【文献类型】 实验仿真
【Author】 Colak, Medine Irmak, Erdal
【影响因子】1.276
【主题类别】
区块链应用-实体经济-电力领域
【Abstract】The electric power system is undergoing a significant transformation driven by advances in digital technologies. This article provides a comprehensive and detailed analysis of recent advances and the future outlook of electric power systems, with a particular emphasis on the impacts of digital transformation. By conducting a thorough examination of over 150 up-to-date research papers, the study highlights the key developments shaping the future of the field, such as the integration of renewable energy, distributed generation, microgrids, and smart grids. The analysis includes comparison tables and SWOT analysis for each technology, offering insights into their strengths, weaknesses, opportunities, and threats. The study also provides a historical and conceptual overview of digital transformation in electric power systems, exploring recent digital technologies such as cloud computing, the Internet of Things, blockchain, digital twins, and their impact on the electric power system. The article concludes by addressing the barriers and challenges in this transformation. Overall, this research offers a comprehensive and up-to-date analysis of the current state and future outlook of electric power systems, providing valuable insights for researchers, practitioners, and policymakers.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】electric power systems; renewable integration; distributed generation; microgrids; smart grids; digital transformation; digital twin
【发表时间】
【收录时间】2023-04-26
【文献类型】 综述
【作者】 古天龙;李龙;常亮;李晶晶;
【作者单位】暨南大学可信人工智能教育部工程研究中心;桂林电子科技大学广西可信软件重点实验室;
【文献来源】计算机学报
【复合影响因子】5.402
【综合影响因子】3.429
【主题类别】
区块链技术-协同技术-联邦学习
【摘要】联邦学习是由多个客户端协作开展模型训练的一种分布式机器学习解决方案。在联邦学习架构下,公平性被赋予了更加丰富的内涵:一方面,联邦学习中不同参与者对模型训练的贡献可能会有很大不同,能够公平反映每个参与者贡献的奖惩激励机制是联邦学习生态可持续发展的关键;另一方面,无论发送给各个参与方的全局模型是被直接用于结果预测还是用于优化参与方的个性化模型,各个参与方所使用的模型在最终的预测性能或精准度上应该具有公平性。具有某一个或多个方面公平性的联邦学习称为公平联邦学习。通过系统梳理和全面剖析近年来的研究工作,对联邦学习的公平性概念、定义及度量进行了阐释;从公平联邦学习生命周期的不同阶段出发,分别对与公平联邦学习设计相关的公平客户端选择、公平模型优化、公平贡献评估、公平激励机制等进行了综述;从可信人工智能及可信联邦学习的角度,对联邦学习公平性与隐私性、鲁棒性的综合设计进行了讨论;立足于区块链与联邦学习的不同耦合方式,即完全耦合、柔性耦合和松散耦合,对基于区块链的联邦学习框架结构进行了分类阐述,进一步从框架结构、公平性、鲁棒性及隐私保护功能等方面对相关研究工作进行了述评;最后,从公平性定义及度量、公平联邦学习方法、鲁棒公平联邦学习及符合伦理联邦学习等四个方面,给出了公平联邦学习及其设计所面临的主要问题、挑战及研究热点。
【关键词】联邦学习;;公平性;;隐私保护;;鲁棒性;;区块链;;人工智能伦理
【文献类型】 综述
【发表时间】2023-04-26
【作者】 许鑫;汪晓芸;
【作者单位】华东师范大学经济与管理学部信息管理系;上海智能教育研究院;上海高校智库华东师范大学电竞产业发展研究中心;华东师范大学经济与管理学部;
【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】文章选取微观主体为切入口进行企业层面元宇宙相关的数字化创新行为研究。首先在TOE框架的基础上采用文献调研法和观察法进行元宇宙相关产业特征识别,创新搭建引入市场营销要素的M-TOE分析框架,指导元宇宙创新行为因素梳理;后采用QCA方法,从组态视角进行相关企业参与元宇宙创新的路径探索,归纳出科技赋能创新型、环境感知灵敏型、资源优势强化型、市场资源拓展型等四种企业类型,并尝试给出围绕技术、环境、营销发展的三条实现路径;最后通过建立文旅企业元宇宙创新发展路径象限图,从数字化创新角度可视化路径选择方向。试图为相关文旅企业的数字化转型之路上的元宇宙需求提供行动路线指南,强调当下企业布局元宇宙时的价值共创意识、“去捷径化”生态责任意识,倡导共同强化产业竞争壁垒,共建良好产业生态。
【关键词】文旅元宇宙;;QCA;;上市公司;;企业创新
【文献类型】 实证数据
【发表时间】2023-04-26
【作者】 刘向晖;
【作者单位】华侨大学经济与金融学院;
【文献来源】价格理论与实践
【复合影响因子】1.985
【综合影响因子】1.158
【主题类别】
区块链应用-实体经济-企业管理
【摘要】差别定价在理论上对企业利润和社会总体福利水平的提升发挥积极作用。区块链技术的不断完善催生了许多新的商业模式,也为差别定价策略的实施提供了更多的可能。区块链技术能使企业更易于实现产品的版本化,并对顾客实施更精准的细分,同时企业还可以更有效地防止顾客的套利行为,从而全面提升企业的差别定价能力,使差别定价策略在区块链技术支持下得到更广泛的应用。另外,区块链也提升了公众和政府对营销企业差别定价的监督和监管能力,促使企业恪守价值定价的原则,在差别定价的方式上有所创新。为推动我国区块链商务应用的健康发展,应创造有利的发展环境、提升政府治理能力以及加强监管领域国际合作。
【关键词】市场营销;;差别定价;;价格歧视;;区块链;;价值定价
【文献类型】 实证数据
【发表时间】2023-04-26
【作者】 王利锋;王佳;
【作者单位】苏州经贸职业技术学院;苏州经贸职业技术学院电商与物流学院;
【文献来源】教育与职业
【复合影响因子】
【综合影响因子】
【主题类别】
区块链应用-实体经济-教育领域
【摘要】以区块链技术赋能产教融合创新,是推动职业教育高质量发展的重要方向。区块链技术基于自身的开放性、独立性、去中心化、安全性等特征和优势,为赋能产教融合创新创造了条件。基于区块链技术赋能产教融合的动因和优势分析,提出区块链技术嵌入产教融合的具体路径:搭建基于产教融合需求和实践特征的区块链信息平台,建立以高素质技术技能人才培养为目标的产教融合智能合约,构建充分适应区块链技术特征的产教融合治理和运作模式,健全产教融合学习成果记录和评价机制。
【关键词】区块链技术;;产教融合;;智能合约;;多元治理
【文献类型】 观点阐述
【发表时间】2023-04-26
【作者】 王爱领;左一鸣;孙少楠;
【作者单位】郑州大学管理学院;华北水利水电大学水利学院;
【文献来源】水利水电技术(中英文)
【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-水利领域
【摘要】【目的】区块链技术在水利工程中的具体实现面临着诸多困难,潜在的障碍继续扩大实施方面的差距。评估影响区块链技术在水利工程中实施的障碍因素对于缩小这种差距尤为重要。【方法】首先,基于文献研究、专家访谈法和技术-组织-环境理论框架识别了区块链技术在水利工程中实施的障碍因素。其次,采用模糊解释结构建模方法,分析区块链技术实施障碍因素的层次结构。最后,利用区间2型模糊AHP方法对各障碍因素进行权重排序。【结果】结果显示:障碍因素OB2和EB7位于解释结构模型的最底层;权重最大的障碍因素分别为EB1、TB2、TB1和EB2。【结论】结果表明:缺乏专项政策支持和缺乏采用新技术的意愿是最根本的障碍因素;利益相关者的信任、协作和博弈、水利数据扩展挑战、水利数据安全风险和水利工程的独特性是构成障碍的重要因素。所采用的定量分析方法为障碍因素分析提供了一个新的见解。研究成果可为水利工程区块链技术实施障碍提供了一个可靠的基于技术-组织-环境理论框架的解决方案,以促进区块链技术在水利工程中的发展和应用,为管理者提供决策支持。
【关键词】水利工程;;障碍因素;;区块链技术;;技术-组织-环境理论框架;;模糊ISM;;区间2型模糊AHP;;去中心化;;物联网
【文献类型】 实证数据
【发表时间】2023-04-26
【作者】 冯兆;
【作者单位】西华大学文学与新闻传播学院传媒系;
【文献来源】重庆邮电大学学报(社会科学版)
【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】本研究旨在通过分析元宇宙创新扩散过程中,社会不同群体的新技术接入差异及相关问题,为中国社会更好地适应新技术带来的社会变革,提供参考策略。本研究主要通过对相关文献、案例的分析及研究,对比中国互联网前序技术的创新扩散历程,以罗杰斯的创新扩散经典理论为框架,分析得出,元宇宙技术在中国社会的创新扩散,主要会从代际数字鸿沟、城乡数字鸿沟、社会差序格局三个层面凸显社会问题,包括:世代效应与后喻文化特征进一步凸显;基于“90后”世代的城乡数字平衡将被打破;以及以“脱域”和“脱序”为主要表征的中国社会差序格局的打破与重建。通过分析本文得出结论:首先,从技术、政策、社会层面,提升元宇宙“适老化”预先布局意识,解决代际数字鸿沟隐患;第二,通过强化农村地区基础设施建设、人才培养力度、资本布局意识,持续强化乡村数字化生态建设;第三,从国家、制度、理论研究等各个方面,对元宇宙创新扩散过程中,新社会生态形成过程中的社会进行粘合及矛盾干预,助力中国社会更好更快地适应新技术带来的全新世界。
【关键词】元宇宙;;社会变革;;创新扩散;;数字鸿沟
【文献类型】 观点阐述
【发表时间】2023-04-26