Handbook of Big Data Privacy
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
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ndbook of Big Data Privacy
Handbook of Big Data Privacy
Kim-Kwang Raymond Choo • Ali Dehghantanha Editors
Handbook of Big Data Privacy
123
Editors Kim-Kwang Raymond Choo University of Texas at San Antonio San Antonio, TX, USA
Ali Dehghantanha Cyber Science Lab School of Computer Science University of Guelph Guelph, ON, Canada
ISBN 978-3-030-38556-9 ISBN 978-3-030-38557-6 (eBook) https://doi.org/10.1007/978-3-030-38557-6 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Contents
1
Big Data and Privacy: Challenges and Opportunities . . . . . . . . . . . . . . . . . . Amin Azmoodeh and Ali Dehghantanha
1
2
AI and Security of Critical Infrastructure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Jacob Sakhnini, Hadis Karimipour, Ali Dehghantanha, and Reza M. Parizi
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3
Industrial Big Data Analytics: Challenges and Opportunities . . . . . . . . Abdulrahman Al-Abassi, Hadis Karimipour, Hamed HaddadPajouh, Ali Dehghantanha, and Reza M. Parizi
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4
A Privacy Protection Key Agreement Protocol Based on ECC for Smart Grid . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Mostafa Farhdi Moghadam, Amirhossein Mohajerzdeh, Hadis Karimipour, Hamid Chitsaz, Roya Karimi, and Behzad Molavi
5
Applications of Big Data Analytics and Machine Learning in the Internet of Things . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Shamim Yousefi, Farnaz Derakhshan, and Hadis Karimipour
63
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6
A Comparison of State-of-the-Art Machine Learning Models for OpCode-Based IoT Malware Detection . . . . . . . . . . . . . . .
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