Handbook of Big Data Privacy PDF
By:Kim-Kwang Raymond Choo,Ali Dehghantanha
Published on 2020-03-18 by Springer Nature
This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.
This Book was ranked at 40 by Google Books for keyword medical computer applications anonymized.
Book ID of Handbook of Big Data Privacy's Books is oMPXDwAAQBAJ, Book which was written byKim-Kwang Raymond Choo,Ali Dehghantanhahave ETAG "CincAsm5tdU"
Book which was published by Springer Nature since 2020-03-18 have ISBNs, ISBN 13 Code is 9783030385576 and ISBN 10 Code is 3030385574
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Book which have "397 Pages" is Printed at BOOK under CategoryComputers
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