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In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analysing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats permeate every link of the big data industry chain, such as data production, collection, processing, and sharing, and the causes of risk are complex and interwoven. Blockchain technology has been highly praised and recognised for its decentralised infrastructure, anonymity, security, and other characteristics, and it will change the way we access and share information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the development of big data while also helping to overcome security and privacy challenges. The author investigates research into and the application of blockchain technology in the field of big data and assesses the attendant advantages and challenges while discussing the possible future directions of the convergence of blockchain and big data. After mastering concepts and technologies introduced in this work, readers will be able to understand the technical evolution, similarities, and differences between blockchain and big data technology, allowing them to further apply it in their development and research. Author: Shaoliang Peng is the Executive Director and Professor of the College of Computer Science and Electronic Engineering, National Supercomputing Centre of Hunan University, Changsha, China. His research interests are high-performance computing, bioinformatics, big data, AI, and blockchain.
Additional ISBNs
1003201679, 1032063130, 1032063041, 9781003201670, 9781032063133, 9781032063041
Blockchain for Big Data: AI, IoT and Cloud Perspectives 1st Edition is written by Shaoliang Peng and published by CRC Press. The Digital and eTextbook ISBNs for Blockchain for Big Data are 9781000432831, 1000432831 and the print ISBNs are 9781032063133, 1032063130. Additional ISBNs for this eTextbook include 1003201679, 1032063130, 1032063041, 9781003201670, 9781032063133, 9781032063041.
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