Blockchain for Big Data: Ai, Iot and Cloud Perspectives
暫譯: 大數據的區塊鏈：AI、IoT 與雲端觀點

Peng, Shaoliang

Blockchain for Big Data: Ai, Iot and Cloud Perspectives
  • 出版商: CRC
  • 出版日期: 2021-09-06
  • 售價: $2,970
  • 貴賓價: 9.5 折 $2,822
  • 語言: 英文
  • 頁數: 182
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032063041
  • ISBN-13: 9781032063041
  • 相關分類: 區塊鏈 Blockchain、大數據 Big-data、物聯網 IoT

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

近年來，社會資訊和網絡的快速發展導致數據的爆炸性增長。各種大數據相繼出現，鼓勵研究人員通過分析這些數據來做出商業決策。然而，許多挑戰依然存在，特別是在數據安全和隱私方面。

大數據的安全和隱私威脅滲透到大數據產業鏈的每一個環節，如數據的生產、收集、處理和共享，風險的成因複雜且交織在一起。區塊鏈技術因其去中心化的基礎設施、匿名性、安全性等特點而受到高度讚譽和認可，並將改變我們訪問和共享資訊的方式。在本書中，作者展示了區塊鏈技術如何克服大數據技術中的一些限制，並促進大數據的發展，同時幫助克服安全和隱私挑戰。

作者調查了區塊鏈技術在大數據領域的研究和應用，評估了相關的優勢和挑戰，同時討論了區塊鏈與大數據融合的未來可能方向。在掌握本書中介紹的概念和技術後，讀者將能夠理解區塊鏈和大數據技術的技術演變、相似性和差異，從而進一步應用於他們的開發和研究。

作者：
**彭少良**是中國長沙湖南大學國家超級計算中心計算機科學與電子工程學院的執行主任和教授。他的研究興趣包括高性能計算、生物信息學、大數據、人工智慧和區塊鏈。

作者簡介

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.

作者簡介(中文翻譯)

邊少良是中國長沙湖南大學計算機科學與電子工程學院的執行主任及教授，同時也是國家重點實驗室化學/生物感測與化學計量學的兼任教授，以及國防科技大學（NUDT，長沙，中國）和BGI、彭城實驗室的兼任教授。他於2007年至2008年擔任香港城市大學（CityU）計算機科學系的訪問學者，並於2013年至2014年在BGI香港擔任訪問學者。他的研究興趣包括高效能計算、生物資訊學、大數據、人工智慧（AI）和區塊鏈。他在多個國際影響力的期刊上發表了數十篇學術論文，包括《科學》（Science）、《自然通訊》（Nature Communications）、《細胞》（Cell）、《美國人類遺傳學雜誌》（AJHG）、《核酸研究》（NAR）、《基因組研究》（Genome Research）、《生物資訊學》（Bioinformatics）、《ACM / IEEE 期刊》（ACM / IEEE Transactions）、《BIBM》等。他曾擔任多個國際期刊的編輯，包括《國際生物科學期刊》（IJBS）的執行編輯、《跨學科科學：計算生命科學國際期刊》（ISCLS）的副編輯等。他還擔任湖南省生物資訊學會的主席和贊助人、中國計算機學會（CCF）生物信息專業組的副主任，以及2019年第17屆亞太區域生物資訊會議委員會的程序主席，並在2016年BIBM會議中擔任邀請演講者。

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