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Security in Smart Cities: Models, Applications, and Challenges

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Cover of 'Security in Smart Cities: Models, Applications, and Challenges'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data Challenges and Opportunities in Healthcare Informatics and Smart Hospitals
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    Chapter 2 Healthcare Analysis in Smart Big Data Analytics: Reviews, Challenges and Recommendations
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    Chapter 3 Realization of an Adaptive Data Hiding System for Electronic Patient Record, Embedding in Medical Images
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    Chapter 4 A Swarm Intelligence Model for Enhancing Health Care Services in Smart Cities Applications
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    Chapter 5 A Machine Learning Model for Predicting of Chronic Kidney Disease Based Internet of Things and Cloud Computing in Smart Cities
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    Chapter 6 Data Security and Challenges in Smart Cities
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    Chapter 7 Engineering Large Complex Critical Infrastructures of Future Smart Cities as Self-adaptive Systems
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    Chapter 8 Security Challenges in IoT Cyber World
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    Chapter 9 Blockchains for Smart Cities: A Survey
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    Chapter 10 Cryptanalysis of 4-Bit Crypto S-Boxes in Smart Applications
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    Chapter 11 A Robust Watermarking Scheme Using Machine Learning Transmitted Over High-Speed Network for Smart Cities
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    Chapter 12 4, 8, 32, 64 Bit Substitution Box Generation Using Irreducible or Reducible Polynomials Over Galois Field GF(Pq) for Smart Applications
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    Chapter 13 Local Binary Patterns Based Facial Expression Recognition for Efficient Smart Applications
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    Chapter 14 Efficient Generation of Association Rules from Numeric Data Using Genetic Algorithm for Smart Cities
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    Chapter 15 Online User Authentication System Based on Finger Knuckle Print Using Smartphones
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Citations

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Title
Security in Smart Cities: Models, Applications, and Challenges
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-01560-2
ISBNs
978-3-03-001559-6, 978-3-03-001560-2
Editors

Aboul Ella Hassanien, Mohamed Elhoseny, Syed Hassan Ahmed, Amit Kumar Singh

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 25%
Student > Ph. D. Student 13 19%
Researcher 7 10%
Lecturer 7 10%
Student > Bachelor 5 7%
Other 9 13%
Unknown 11 16%
Readers by discipline Count As %
Computer Science 27 39%
Engineering 10 14%
Business, Management and Accounting 4 6%
Social Sciences 4 6%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 5 7%
Unknown 18 26%