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標題: Titlebook: Blockchain: Empowering Secure Data Sharing; Meng Shen,Liehuang Zhu,Ke Xu Book 2020 The Editor(s) (if applicable) and The Author(s), under [打印本頁]

作者: 欺騙某人    時間: 2025-3-21 19:07
書目名稱Blockchain: Empowering Secure Data Sharing影響因子(影響力)




書目名稱Blockchain: Empowering Secure Data Sharing影響因子(影響力)學科排名




書目名稱Blockchain: Empowering Secure Data Sharing網絡公開度




書目名稱Blockchain: Empowering Secure Data Sharing網絡公開度學科排名




書目名稱Blockchain: Empowering Secure Data Sharing被引頻次




書目名稱Blockchain: Empowering Secure Data Sharing被引頻次學科排名




書目名稱Blockchain: Empowering Secure Data Sharing年度引用




書目名稱Blockchain: Empowering Secure Data Sharing年度引用學科排名




書目名稱Blockchain: Empowering Secure Data Sharing讀者反饋




書目名稱Blockchain: Empowering Secure Data Sharing讀者反饋學科排名





作者: Conclave    時間: 2025-3-21 23:52
Semisimple Lie Groups and Algebras,background first, following with the typical data sharing scenarios. Then a concise review of existing solutions for data sharing is given. Finally, data sharing requirements and challenges are summarized.
作者: Calibrate    時間: 2025-3-22 00:24

作者: Commonwealth    時間: 2025-3-22 08:11
Book 2020on utilization. However, the expansion of data sharing means there is an urgent need to address the issue of the privacy protection – an area where the emerging blockchain technology offers considerable advantages. Although there are a large number of research papers on data sharing modeling and ana
作者: 軟弱    時間: 2025-3-22 11:30

作者: 疲勞    時間: 2025-3-22 13:54

作者: VOK    時間: 2025-3-22 17:26
Blockchain and Data Sharing,ayer, incentive layer and application layer. The details of each layer are elaborated accordingly. Afterwards, we emphasize the strengths of blockchain, including integrity, immutability, decentralization and verifiability. Finally, we make a list of the threats and challenges of blockchain to be overcame.
作者: 面包屑    時間: 2025-3-23 00:27
Layered Data Sharing Architecture with Blockchain,ity layer, data repository layer, service layer and application layer. The description of each layer not only helps to understand the content of the layer, but also contributes to understand the relationship between the layers. At the end of this chapter, a scenario example based on this architecture is given and analyzed.
作者: 顛簸下上    時間: 2025-3-23 01:33

作者: Functional    時間: 2025-3-23 05:35

作者: ERUPT    時間: 2025-3-23 09:44
Data Sharing Incentives with Blockchain,be solved by blockchain. No participant in a data-sharing collaboration tends to make an effort without compensation. Existing studies on medical data sharing have rarely concerned about the reasonable incentive mechanism for multi-party cooperation.
作者: NATTY    時間: 2025-3-23 14:12

作者: TRACE    時間: 2025-3-23 18:02
Introduction,nformation utilization. But with the expansion of data sharing, privacy protection need to be solved urgently. This chapter presents the data sharing background first, following with the typical data sharing scenarios. Then a concise review of existing solutions for data sharing is given. Finally, d
作者: 鈍劍    時間: 2025-3-24 00:45

作者: judicial    時間: 2025-3-24 03:35

作者: Hallmark    時間: 2025-3-24 07:28
Secure Homogeneous Data Sharing Using Blockchain,pical ML model, Support Vector Machine (SVM) supports efficient data classification, which is applied in many application of real world, such as disease diagnosis and anomaly detection. Training SVM classifiers usually requires to collect labeled IoT data from multiple entities, which leads to data
作者: 否決    時間: 2025-3-24 11:23
Secure Heterogeneous Data Sharing Using Blockchain,llected by them differ greatly in attributes. These heterogeneous datasets form a complementary relationship with each other, so data sharing between organizations is necessary. Machine learning (ML) methods are widely used in big data processing, thus it is necessary to train machine learning model
作者: Hemodialysis    時間: 2025-3-24 18:15

作者: adulterant    時間: 2025-3-24 21:55
Data Sharing Incentives with Blockchain,cal institutions will apply data sharing to medical diagnosis, thus giving rise to third party institutions that can perform pathological diagnosis through machine learning. The current data sharing schemes among multiple participants are constrained by efficiency and security problems, which could
作者: BILL    時間: 2025-3-25 01:44
Book 2020, and incentive mechanisms, and presents corresponding case studies...The book explains thesecurity architecture model and the practice of building data sharing from the blockchain infrastructure, allowing readers to understand the importance of data sharing security based on the blockchain framewor
作者: 滔滔不絕的人    時間: 2025-3-25 03:43
Semisimple Lie Groups and Algebras,cure and reliable data sharing platform among multiple data providers, where IoT data is encrypted and then recorded on a distributed ledger. After detailing the background of homogeneous IoT data sharing, we introduce the proposed method. Then, we present the comprehensive experiments for demonstra
作者: rods366    時間: 2025-3-25 07:29

作者: Organonitrile    時間: 2025-3-25 14:30

作者: 辮子帶來幫助    時間: 2025-3-25 18:49
Secure Homogeneous Data Sharing Using Blockchain,cure and reliable data sharing platform among multiple data providers, where IoT data is encrypted and then recorded on a distributed ledger. After detailing the background of homogeneous IoT data sharing, we introduce the proposed method. Then, we present the comprehensive experiments for demonstra
作者: 誤傳    時間: 2025-3-25 23:52

作者: Airtight    時間: 2025-3-26 00:08
https://doi.org/10.1007/978-981-15-5939-6blockchain; privacy protection; secure multiparty computing; data sharing; image retrieval; collaborative
作者: 泄露    時間: 2025-3-26 07:51

作者: 拋媚眼    時間: 2025-3-26 09:09

作者: 偽證    時間: 2025-3-26 14:32
https://doi.org/10.1007/978-0-387-28929-8 and machine intelligence happens based on high volume data feed. Blockchain is a new emerging technology, which holds vast possibilities and benefits to improve traceability and accountability of its stored data. It has significant advantages in unlocking the full potential of data sharing in multi
作者: induct    時間: 2025-3-26 18:30
https://doi.org/10.1007/978-0-387-28929-8e. However, due to the high research and development costs of building data sharing blockchain applications in different scenarios, this chapter proposes a layered data sharing architecture with blockchain. First, the architecture is outlined, including design principles, functional overview, and la
作者: ENNUI    時間: 2025-3-26 21:49
Semisimple Lie Groups and Algebras,pical ML model, Support Vector Machine (SVM) supports efficient data classification, which is applied in many application of real world, such as disease diagnosis and anomaly detection. Training SVM classifiers usually requires to collect labeled IoT data from multiple entities, which leads to data
作者: 防御    時間: 2025-3-27 03:34
Semisimple Lie Groups and Algebras,llected by them differ greatly in attributes. These heterogeneous datasets form a complementary relationship with each other, so data sharing between organizations is necessary. Machine learning (ML) methods are widely used in big data processing, thus it is necessary to train machine learning model
作者: 繼承人    時間: 2025-3-27 05:53
https://doi.org/10.1007/978-0-387-28929-8l images can help diagnose the condition and improve treatment timeliness. However, medical images contain a large amount of sensitive patient information, which can easily cause privacy leakage. At the same time, existing research cannot protect the sensitive information of medical images or achiev
作者: Osteons    時間: 2025-3-27 12:31

作者: 杠桿    時間: 2025-3-27 13:40
Meng Shen,Liehuang Zhu,Ke XuPresents a blockchain-based solution for secure data sharing, including the architecture, data repository, data retrieval, and the data analysis aspects.Explores secure data sharing in depth, includin
作者: grandiose    時間: 2025-3-27 19:00
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作者: 流動性    時間: 2025-3-27 22:10





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