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Handbook of Big Data Privacy

Editors: Choo, Kim-Kwang Raymond, Dehghantanha, Ali (Eds.)

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  • One of the first handbooks that provides interdisciplinary coverage of security, privacy and forensics knowledge in the field of big data and IoT security, privacy, and forensics
  • Presents an up-to-date view of existing and emerging security, privacy, and forensics challenges, research opportunities and solutions
  • Introduces the technical information regarding cyber threats applicable to big data platforms and offers technical solutions to address those threats for the researcher and software developers to build automated systems that address security, trust and privacy issues in big data platforms
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  • ISBN 978-3-030-38557-6
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About this book

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.

About the authors

‚ÄčKim-Kwang Raymond Choo holds the Cloud Technology Endowed Professorship at The University of Texas at San Antonio (UTSA), San Antonio, TX, USA. In 2015 he and his team won the Digital Forensics Research Challenge organized by Germany's University of Erlangen-Nuremberg. He is the recipient of the 2019 IEEE TCSC Award for Excellence in Scalable Computing (Middle Career Researcher), 2018 UTSA College of Business Col. Jean Piccione and Lt. Col. Philip Piccione Endowed Research Award for Tenured Faculty, British Computer Society's 2019 Wilkes Award Runner-up, 2019 EURASIP JWCN Best Paper Award, Korea Information Processing Society's JIPS Survey Paper Award (Gold) 2019, IEEE Blockchain 2019 Outstanding Paper Award, Best Paper Awards from IEEE TrustCom 2018 and ESORICS 2015, Fulbright Scholarship in 2009, 2008 Australia Day Achievement Medallion, and British Computer Society's Wilkes Award in 2008. He is also a Fellow of the Australian Computer Society, an IEEE Senior Member, and Co-Chair of IEEE Multimedia Communications Technical Committee's Digital Rights Management for Multimedia Interest Group.
Ali Dehghantanha is the director of Cyber Science Lab in the University of Guelph, Ontario, Canada. His lab is focused on building AI-powered solutions to support cyber threat attribution, cyber threat hunting and digital forensics tasks in Internet of Things (IoT), Industrial IoT, and Internet of Military of Things (IoMT) environments. Ali has served for more than a decade in a variety of industrial and academic positions with leading players in cyber security and AI. Prior to joining UofG, he has served as a Sr. Lecturer in the University of Sheffield - UK. He is an EU Marie-Curie Fellow alumnus and an IEEE Sr. member. He received his Ph.D. in Security in Computing in 2011 and his M.Sc. in Security in Computing in 2008.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Big Data and Privacy: Challenges and Opportunities

    Pages 1-5

    Azmoodeh, Amin (et al.)

  • AI and Security of Critical Infrastructure

    Pages 7-36

    Sakhnini, Jacob (et al.)

  • Industrial Big Data Analytics: Challenges and Opportunities

    Pages 37-61

    Al-Abassi, Abdulrahman (et al.)

  • A Privacy Protection Key Agreement Protocol Based on ECC for Smart Grid

    Pages 63-76

    Farhdi Moghadam, Mostafa (et al.)

  • Applications of Big Data Analytics and Machine Learning in the Internet of Things

    Pages 77-108

    Yousefi, Shamim (et al.)

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-3-030-38557-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Big Data Privacy
Editors
  • Kim-Kwang Raymond Choo
  • Ali Dehghantanha
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-38557-6
DOI
10.1007/978-3-030-38557-6
Hardcover ISBN
978-3-030-38556-9
Edition Number
1
Number of Pages
IX, 397
Number of Illustrations
8 b/w illustrations, 141 illustrations in colour
Topics

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