
Blockchain Technology in Internet of Things
Liehuang / Gai Zhu
Résumé
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.
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.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Springer |
Auteur(s) | Liehuang / Gai Zhu |
Parution | 07/08/2019 |
Nb. de pages | 143 |
EAN13 | 9783030217655 |
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