The Smart Cyber Ecosystem for Sustainable Development

21 Chapter 22Figure 22.1 Variants of cybersecurity.Figure 22.2 Categories of machine learning methods for cybersecurity.

1 Chapter 1Table 1.1 Arduino function and its description.Table 1.2 Arduino programming requirement.

2 Chapter 6Table 6.1 Various definitions of trust in WSN.

3 Chapter 7Table 7.1 Summary of agriculture sensor.

4 Chapter 10Table 10.1 Datasets for deep learning in IoT.

5 Chapter 11Table 11.1 Evaluating parameters.Table 11.2 Evaluation on databases.Table 11.3 Comparative analysis: CNN methods. Note: All parameters are measured ...Table 11.4 Comparative analysis on existing methods. Note: All parameters are me...

6 Chapter 14Table 14.1 Brief descriptions of basic machine learning algorithms used in diffe...

7 Chapter 15Table 15.1 Big data tools.

8 Chapter 17Table 17.1 List of text mining algorithms.Table 17.2 Sentiment analysis algorithms and approaches.Table 17.3 Different characteristics of sentiment, emotion, and behavioral analy...

9 Chapter 19Table 19.1 Layered structure of cybersecurity.

10 Chapter 20Table 20.1 Survey of literature review.Table 20.2 Comparison of the consensus algorithms with respect to generic parame...Table 20.3 Comparison of the consensus algorithms with respect to performance-re...

11 Chapter 21Table 21.1 Comparing the existing online voting system.

1 Cover

2 Table of Contents

3 Title Page

4 Copyright

5 Preface

6 Begin Reading

7 Index

8 End User License Agreement

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Scrivener Publishing

100 Cummings Center, Suite 541J

Beverly, MA 01915-6106

Publishers at Scrivener Martin Scrivener ( martin@scrivenerpublishing.com)

Phillip Carmical ( pcarmical@scrivenerpublishing.com)

Edited by

Pardeep Kumar

Vishal Jain

Vasaki Ponnusamy

This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA