Blockchain in Data Analytics
Blockchain technology facilitates a decentralized database where business is rendered transparent without the involvement of middlemen. The first use of this technology was its application in digital currency (bitcoin). However, other potential uses of blockchain are yet to be explored. It is expected to have a major impact on cyber security, the internet of things, supply chain management, market prediction, governance, information management, and financial transactions, among others. Blockchain has redesigned the way in which people deal with their money due to its effectiveness, especially in terms of security. Therefore, from the data analytics point of view, investigation of the application of blockchain technology in a wide range of domains is crucial. In this context, this book provides a broad picture of the concepts, techniques, applications, and open research directions in this area, and will serve as a single source of reference for acquiring knowledge on this emerging technology.
Mohiuddin Ahmed attained his PhD in Computer Science from the University of New South Wales, Australia. His research expertise encompasses cyber security and machine learning, and he is currently working as a Lecturer in Computing and Security Sciences in the School of Science at Edith Cowan University, Australia. He previously served as a Lecturer in the Centre for Cyber Security and Games at the Canberra Institute of Technology, Australia, where he was also involved with the Data Strategy Working Group. He has edited numerous books on data analytics, security and blockchain, and has published over 40 book chapters and journal articles. He is currently exploring the potential of blockchain in ensuring the security of healthcare devices and unmanned aerial vehicles, among others.
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