Expected by: 01 December 2020
Blockchains for Network Security
Principles, technologies and applications
Blockchain technology is a powerful, cost-effective method for network security. Essentially, it is a decentralized ledger for storing all committed transactions in trustless environments by integrating several core technologies such as cryptographic hash, digital signature and distributed consensus mechanisms. It enables users to use distributed peer-to-peer networks where non-confident members can interact efficiently with each other while not needing a trusted intermediary.
Over the past few years, blockchain technology has been used in a variety of network interaction systems such as smart contracts, public services, Internet of Things (IoT), social networks, reputation systems and security and financial services. With its wider adoption, attention has been brought on to how blockchain technologies can address network security concerns and vulnerabilities and their real-world security implications.
The book begins with an introduction to blockchains, covering key principles and applications. Further chapters cover blockchain system architecture, applications and research issues; blockchain consensures and incentives; blockchain applications, projects and implementations; blockchain for internet of things; blockchain in 5G and 6G networks; edgechain to provide security in organization based multi agent systems; blockchain driven privacy-preserving machine learning; performance evaluation of differential privacy mechanisms in blockchain based smart metering; scaling-out blockchains with sharding; blockchain for GIS; and final blockchain application in remote sensing big data management and production.
The editors and authors present a comprehensive view of blockchain technologies for network security from principles to core technologies and applications. Researchers, scientists and designers in ICTs, cybersecurity and networking can take advantage of unprecedented insights into recent advances and developments in these areas, and how they can make blockchain technologies associated with networks more secure and fit-for-purpose.
About the Editors
Haojun Huang is an associate professor at the School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China. He has also obtained 10 patents and 5 innovation awards. His current research interests include Internet of Things, network function virtualization, software-defined networking, and artificial intelligence for networking. He holds a Ph.D. degree in Communications Engineering from the University of Science and Technology of China.
Lizhe Wang is the Dean and 'ChuTian' chair professor at the School of Computer Science, China University of Geosciences (CUG), and a professor at the Institute of Remote Sensing & Digital Earth, Chinese Academy of Sciences (CAS), China. His research interests include cloud computing, HPC, e-science and spatial data processing. He is a fellow of the British Computer Society and the IET, and a series board member of the IET Book Series on Big Data.
Yulei Wu is a senior lecturer with the Department of Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK. His main research focuses on computer networks, networked systems, software defined networks and systems, network management, and network security and privacy. He is an Associate Editor of IEEE Transactions on Network and Service Management, and an Area Editor of Computer Networks (Elsevier).
Kim-Kwang Raymond Choo holds the Cloud Technology Endowed Professorship at the University of Texas at San Antonio, USA. He is the recipient of various awards including the 2019 IEEE Technical Committee on Scalable Computing (TCSC) Award.
Haojun Huang, Lizhe Wang, Yulei Wu, Kim-Kwang Raymond Choo