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.
About the Author:
Shaoliang Peng is the Executive Director and Professor of College of Computer Science and Electronic Engineering, the National Supercomputing Centre of Hunan University, Changsha, China and is an adjunct professor of State Key Laboratory of Chemo/Biosensing and Chemometrics, and National University of Defense Technology (NUDT, Changsha, China), and BGI, and Peng Cheng Lab. He was a visiting scholar at CS Department of City University of Hong Kong (CityU) from 2007 to 2008 and at BGI Hong Kong from 2013 to 2014. His research interests are high performance computing, bioinformatics, big data, AI, and blockchain. He has published dozens of academic papers on several internationally influential journals, including Science, Nature Communications, Cell AJHG, NAR, Genome Research, Bioinformatics, ACM / IEEE Transactions, BIBM and so on. He has served as editors of several international journals, including Executive Editors of International Journal of Biological Sciences (IJBS), Associate Editor of Interdisciplinary Sciences: Computational Life Sciences International Journal (ISCLS), etc. He has also served as chairman and sponsor of the Hunan Provincial Bioinformatics Society, deputy director of biological information professional group in CCF, and Program Chairman of the 17th APBC Asia Pacific Regional Bioinformatics Conference Committee 2019, and BIBM 2016 Conference Invited Speaker.
