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Big Data Analytics and Computational Intelligence for Cybersecurity

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Cover of 'Big Data Analytics and Computational Intelligence for Cybersecurity'

Table of Contents

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    Book Overview
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    Chapter 1 New Advancements in Cybersecurity: A Comprehensive Survey
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    Chapter 2 CPSs Communication Using 5G Network in the Light of Security
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    Chapter 3 A Survey on Security Aspects in RPL Protocol Over IoT Networks
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    Chapter 4 Analysis of Cybersecurity Risks and Their Mitigation for Work-From-Home Tools and Techniques
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    Chapter 5 A Systemic Security and Privacy Review: Attacks and Prevention Mechanisms Over IoT Layers
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    Chapter 6 Software-Defined Networking Security: A Comprehensive Review
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    Chapter 7 Detection of Security Attacks Using Intrusion Detection System for UAV Networks: A Survey
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    Chapter 8 Role of Computational Intelligence in Cybersecurity
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    Chapter 9 Computational Intelligence Techniques for Cyberspace Intrusion Detection System
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    Chapter 10 A Comparative Analysis of Intrusion Detection in IoT Network Using Machine Learning
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    Chapter 11 Blockchain Enabled Artificial Intelligence for Cybersecurity Systems
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    Chapter 12 Approaches for Visualizing Cybersecurity Dataset Using Social Network Analysis
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    Chapter 13 Data Footprinting in Big Data
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    Chapter 14 An Investigation of Unmanned Aerial Vehicle Surveillance Data Processing with Big Data Analytics
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    Chapter 15 Big Data Mining Using K-Means and DBSCAN Clustering Techniques
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    Chapter 16 IoT Security in Smart University Systems
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    Chapter 17 The Impact of Big Data and IoT for Computational Smarter Education System
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    Chapter 18 Transformation in Health-Care Services Using Internet of Things (IoT): Review
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    Chapter 19 A Survey of Deep Learning Methods for Fruit and Vegetable Detection and Yield Estimation
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    Chapter 20 Bird Calls Identification in Soundscape Recordings Using Deep Convolutional Neural Network
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Citations

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Title
Big Data Analytics and Computational Intelligence for Cybersecurity
Published by
Springer International Publishing, July 2022
DOI 10.1007/978-3-031-05752-6
ISBNs
978-3-03-105751-9, 978-3-03-105752-6
Editors

Ouaissa, Mariya, Boulouard, Zakaria, Ouaissa, Mariyam, Khan, Inam Ullah, Kaosar, Mohammed

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The data shown below were collected from the profile of 1 X user 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 13%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Librarian 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 8 53%
Readers by discipline Count As %
Computer Science 5 33%
Biochemistry, Genetics and Molecular Biology 1 7%
Engineering 1 7%
Unknown 8 53%