Blockchain Technology in Internet of Things
Zhu, Liehuang, Gai, Keke, Li, Meng
- 出版商: Springer
- 出版日期: 2019-08-08
- 售價: $6,660
- 貴賓價: 9.5 折 $6,327
- 語言: 英文
- 頁數: 143
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030217655
- ISBN-13: 9783030217655
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相關分類:
區塊鏈 Blockchain、物聯網 IoT
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book focuses on picturing B-IoT techniques from a few perspectives, which are architecture, key technologies, security and privacy, service models and framework, practical use cases and more. Main contents of this book derive from most updated technical achievements or breakthroughs in the field. A number of representative IoT service offerings will be covered by this book, such as vehicular networks, document sharing system, and telehealth. Both theoretical and practical contents will be involved in this book in order to assist readers to have a comprehensive and deep understanding the mechanism of using blockchain for powering up IoT systems.
The blockchain-enabled Internet of Things (B-IoT) is deemed to be a novel technical alternative that provides network-based services with additional functionalities, benefits, and implementations in terms of decentralization, immutability, and auditability. Towards the enhanced secure and privacy-preserving Internet of Things (IoT), this book introduces a few significant aspects of B-IoT, which includes fundamental knowledge of both blockchain and IoT, state-of-the-art reviews of B-IoT applications, crucial components in the B-IoT system and the model design, and future development potentials and trends.
IoT technologies and services, e.g. cloud data storage technologies and vehicular services, play important roles in wireless technology developments. On the other side, blockchain technologies are being adopted in a variety of academic societies and professional realms due to its promising characteristics. It is observable that the research and development on integrating these two technologies will provide critical thinking and solid references for contemporary and future network-relevant solutions.
This book targets researchers and advanced level students in computer science, who are focused on cryptography, cloud computing and internet of things, as well as electrical engineering students and researchers focused on vehicular networks and more. Professionals working in these fields will also find this book to be a valuable resource.
The blockchain-enabled Internet of Things (B-IoT) is deemed to be a novel technical alternative that provides network-based services with additional functionalities, benefits, and implementations in terms of decentralization, immutability, and auditability. Towards the enhanced secure and privacy-preserving Internet of Things (IoT), this book introduces a few significant aspects of B-IoT, which includes fundamental knowledge of both blockchain and IoT, state-of-the-art reviews of B-IoT applications, crucial components in the B-IoT system and the model design, and future development potentials and trends.
IoT technologies and services, e.g. cloud data storage technologies and vehicular services, play important roles in wireless technology developments. On the other side, blockchain technologies are being adopted in a variety of academic societies and professional realms due to its promising characteristics. It is observable that the research and development on integrating these two technologies will provide critical thinking and solid references for contemporary and future network-relevant solutions.
This book targets researchers and advanced level students in computer science, who are focused on cryptography, cloud computing and internet of things, as well as electrical engineering students and researchers focused on vehicular networks and more. Professionals working in these fields will also find this book to be a valuable resource.
作者簡介
Liehuang Zhu is a Professor and the Vice Dean in the School of Computer Science and Technology at Beijing Institute of Technology. He is selected into the Program for New Century Excellent Talents in University from Ministry of Education, P. R. China. Liehuang Zhu has published 50+ jour-nal papers and 40+ conference papers in recent years, including (including IEEE TDSC, IEEE TIFS, IEEE Communications Magazine, IEEE Wireless Communica-tions, IEEE IoT, IEEE Network, IEEE TSG, IEEE TVT, IEEE Access, Information Sciences, IEEE/ACM IWQoS, IEEE IPCCC, IEEE GLOBECOM). He has served as the Chair in SmartBlock 2018, and the program committee chair in BcADS 2019, MSN 2017, InTrust 2014, and InTrust 2011. He was a Guest Editor for the IEEE Wireless Communications Magazine in 2018. He has been granted three best paper awards in IEEE/ACM conferences, including IEEE TrustCom 2018, IEEE/ACM I-WQoS 2017, and IEEE IPCCC 2014. He has been awarded as an Excellent Advisor in China Institute of Communications Excellent Doctoral Dissertation and China National College Student Information Security Contest. His research interests include cryptographic algorithms and secure protocols, Internet of Things security, cloud computing security, big data privacy, mobile and Internet security, and trusted computing.
Keke Gai received a Ph.D. degree in Computer Science from the Department of Computer Science at Pace University, New York, USA. He also holds degrees from Nanjing University of Science and Technology (BEng), The University of British Columbia (MET) and Lawrence Technological University (MBA and MS). He is currently an Associate Professor in the School of Computer Science and Technology at Beijing Institute of Technology, Beijing, China. Keke Gai has published more than 90 peer-reviewed journals or conference papers in re-cent years, including 30+ journal papers (including ACM/IEEE Transactions) and 50+ conference papers. He has been granted five IEEE Best Paper Awards (IEEE TrustCom18, IEEE HPCC18, IEEE SSC16, IEEE CSCloud15, IEEE BigDataSe-curity'15) and two IEEE Best Student Paper Awards (SmartCloud16, HPCC16) by IEEE conferences in recent years. His paper about cloud computing has been ranked as the Most Downloaded Articles" of Journal of Network and Computer Applica-tions (JNCA). He is involved in a number of professional/academic associations, including ACM and IEEE. His research interests include cyber security, cloud com-puting, blockchain, combinatorial optimization, and edge computing.
Meng Li is currently working towards the Ph.D. degree with the School of Computer Science and Technology, Beijing Institute of Tech-nology and he is a visiting Ph.D. student in Wilfrid Laurier University. He has re-ceived the National Graduate Student Scholarship in 2011. He has been sponsored by China Scholarship Council High-level University Graduate Student Government-Sponsored Program and Beijing Institute of Technology High Level Ph.D. Disser-tation Nursery Funding in 2017. His research interests are applied cryptography, security and privacy, vehicular networks, fog computing and blockchain.
Keke Gai received a Ph.D. degree in Computer Science from the Department of Computer Science at Pace University, New York, USA. He also holds degrees from Nanjing University of Science and Technology (BEng), The University of British Columbia (MET) and Lawrence Technological University (MBA and MS). He is currently an Associate Professor in the School of Computer Science and Technology at Beijing Institute of Technology, Beijing, China. Keke Gai has published more than 90 peer-reviewed journals or conference papers in re-cent years, including 30+ journal papers (including ACM/IEEE Transactions) and 50+ conference papers. He has been granted five IEEE Best Paper Awards (IEEE TrustCom18, IEEE HPCC18, IEEE SSC16, IEEE CSCloud15, IEEE BigDataSe-curity'15) and two IEEE Best Student Paper Awards (SmartCloud16, HPCC16) by IEEE conferences in recent years. His paper about cloud computing has been ranked as the Most Downloaded Articles" of Journal of Network and Computer Applica-tions (JNCA). He is involved in a number of professional/academic associations, including ACM and IEEE. His research interests include cyber security, cloud com-puting, blockchain, combinatorial optimization, and edge computing.
Meng Li is currently working towards the Ph.D. degree with the School of Computer Science and Technology, Beijing Institute of Tech-nology and he is a visiting Ph.D. student in Wilfrid Laurier University. He has re-ceived the National Graduate Student Scholarship in 2011. He has been sponsored by China Scholarship Council High-level University Graduate Student Government-Sponsored Program and Beijing Institute of Technology High Level Ph.D. Disser-tation Nursery Funding in 2017. His research interests are applied cryptography, security and privacy, vehicular networks, fog computing and blockchain.
