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Blockchains for Network Security : Principles, technologies and applications /

The book comprises 12 chapters dealing with the following subjects: blockchains for network security; blockchain system architecture; blockchain consensus and incentives; Internet of Things; 5G and 6G networks; edgechain for organization-based multi-agent systems; privacy-preserving machine learning...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Huang, Haojun (Editor ), Wang, Lizhe, 1974- (Editor ), Wu, Yulei (Editor ), Choo, Kim-Kwang Raymond (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Stevenage : The Institution of Engineering and Technology, 2020.
Colección:IET computing series ; 29
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction to blockchains / Haojun Huang, Jialin Tian, Geyong Min and Wang Miao
  • Blockchain system architecture, applications and research issues / Wang Miao, Geyong Min, Haojun Huang and Haozhe Wang
  • Blockchain consensuses and incentives / Meijun Li, Gaoyang Liu, Jialin Tian, Chen Wang, Yang Yang and Shaohua Wan
  • Blockchain applications, projects and implementations / Haojun Huang, Geyong Min, Wang Miao and Haozhe Wang
  • Blockchain for Internet of Things / Xu Wang, Xuan Zha, Guangsheng Yu, Wei Ni and Ren Ping Liu
  • Blockchain in 5G and 6G networks / Minghao Wang, Xuhan Zuo and Tianqing Zhu
  • EdgeChain to provide security in organization-based multi-agent systems / Diego Valdeolmillos, Roberto Casado-Vara and Juan M. Corchado
  • Blockchain-drivern privacy-preserving machine learning / Youyang Qu, Longxiang Gao and Yong Xiang
  • Performance evaluation of differential privacy mechanisms in blockchain-based smart metering / Muneeb Ul Hassan, Mubashir Husain Rehmani and Jinjun Chen
  • Scaling-out blockchains with sharding : an extensive survey / Guangshen Yu, Xu Wang, Kan Yu, Wei Ni, J. Andrew Zhang and Ren Ping Liu
  • Blockchaing for GIS : an overview / Yong Wang, Lizhe Wang, Dongfang Zhang and Chengjun Li
  • Blockchain application in remote sensing big data management and production / Jining Yan, Lizhe Wang, Feng Zhang, Xiaodao Chen, Xiaohui Huang and Jiabao Li