Table Of ContentInternet of Things in
Business Transformation
Scrivener Publishing
100 Cummings Center, Suite 541J
Beverly, MA 01915-6106
Publishers at Scrivener
Martin Scrivener ([email protected])
Phillip Carmical ([email protected])
Scrivener Publishing
100 Cummings Center, Suite 541J
Beverly, MA 01915-6106
Publishers at Scrivener
Martin Scrivener ([email protected]) Internet of Things in
Phillip Carmical ([email protected])
Business Transformation
Developing an Engineering and
Business Strategy for Industry 5.0
Edited by
Parul Gandhi, Surbhi Bhatia,
Abhishek Kumar, Mohammad Alojail
and Pramod Singh Rathore
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
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Library of Congress Cataloging-in-Publication Data
ISBN 978-1-119-71112-4
Cover image: Pixabay.com
Cover design by Russell Richardson
Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines
Printed in the USA
10 9 8 7 6 5 4 3 2 1
Contents
Preface xiii
1 Applications of IIoT-Based Systems in Detection Leakage
in Pipeline Custody Transfer of Hydrocarbon Products 1
Pragyadiya Das
1.1 Introduction 1
1.2 Industrial Internet of Things 3
1.3 Pipeline Leaks 3
1.3.1 Various Techniques used to Detect Pipeline Leak 4
1.3.2 Use of IIoT to Detect Pipeline Leak 7
1.3.3 Use of Machine Learning Algorithms to Detect
Pipeline Leak 9
1.3.4 Design and Analysis of Ensemble Learning-Based
Approach for Pipeline Leak Detection 10
1.4 Conclusion 11
References 11
2 Heart Rate Monitoring System 15
Ramapriya Ranganath, Parag Jain, Akarash Kolekar,
Sneha Baliga, A. Srinivas and M. Rajasekar
2.1 Introduction 16
2.2 Project Objectives 17
2.3 System Architecture 18
2.4 Conclusion 25
References 25
3 An Efficient Clustering Technique for Wireless Body Area
Networks Based on Dragonfly Optimization 27
Bilal Mehmood and Farhan Aadil
3.1 Introduction 28
3.2 Literature Review 29
v
vi Contents
3.3 Clustering Technique 31
3.3.1 Evolutionary Algorithms 32
3.4 Implementation Steps 34
3.4.1 Dragonfly Algorithm 35
3.5 Result and Simulations 37
3.6 Conclusion 41
References 41
4 Transformational Technology for Business Transformation
in the New Era 43
Md Shamsul Haque Ansari and Monica Mehrotra
4.1 Introduction 43
4.1.1 Business Transformation 45
4.2 Digital Transformation and its Big Trend 46
4.2.1 Digital Transformation 46
4.2.2 How Important is Digital Transformation? 46
4.2.3 Digital Transformation Examples 48
4.2.4 Importance of Digital Transformation 50
4.2.5 Digital Transformation vs Business Transformation 50
4.2.6 What Does Digital Transformation Look Like? 50
4.3 Transformational Technology 51
4.3.1 Internet of Things 51
4.3.2 Robotic Process Automation 52
4.3.3 Automation and Artificial Intelligence 52
4.3.4 Blockchain 53
4.3.5 Cloud Computing 54
4.3.6 Smartphones and Mobile Apps 54
4.3.7 4G and 5G 55
4.3.8 Data Analytics 55
4.3.9 Social Media 55
4.4 How to Get “Digital Transformation” in a Right Way
for Any Business 56
4.4.1 Look Beyond the Traditional Enterprise Firewall 56
4.4.2 Bring New Ideas From the Edge to the Core 57
4.4.3 Define the Role of the CIO in the Innovation Process 57
4.5 Relevance of IoT in Digital Transformation 58
4.6 Conclusion 59
References 59
Contents vii
5 Future of Artificial Intelligence: Will People be at More of an
Advantage Than They Are Today? 61
Priyadarsini Patnaik and Ravi Prakash
5.1 Introduction 61
5.2 The State of Artificial Intelligence (AI) 63
5.3 How Do Customers Interact with AI Nowadays? 63
5.4 AI as Digital Assistants 63
5.5 AI and Privacy, Data Security 64
5.5.1 Artificial Intelligence and its Effect on Humans 64
5.5.2 Conclusion 67
References 67
6 Classifier for DDoS Attack Detection in Software
Defined Networks 71
Gaganjot Kaur and Prinima Gupta
6.1 Introduction 72
6.2 Related Work 75
6.3 DDoS Attacks Overview 79
6.4 Types of DDoS Attacks 81
6.5 DDoS Detection Techniques in SDN 83
6.6 Detection Using ML Techniques 83
6.7 Proposed Work Using SVM Classifier 84
6.8 Data Set Used 85
6.9 Proposed Methodology 85
6.10 Existing & Proposed Results 86
6.11 Conclusion & Future Work 86
References 87
7 IoT-Based Optimized and Secured Ecosystem
for Energy Internet: The State-of-the-Art 91
Shilpa Sambhi, Shikhar Sambhi and Vikas Singh Bhadoria
7.1 Introduction 92
7.2 Distinguishing Features Between Home Automation
and Smart Home 95
7.3 Energy Generation Shift Towards Renewable Sources 99
7.4 Robust Energy Management with IoT Technology 100
7.5 Solution from IoT Technology for Secured Transactions 103
7.5.1 Category I: Centralized Approach 103
7.5.2 Category II: Decentralized Approach 103
7.5.2.1 Blockchain Technology 104
7.5.2.2 Software Defined Networking (SDN) 107
viii Contents
7.6 Role of IoT in Smart Grid 109
7.6.1 Power Generation 109
7.6.2 Power Transmission 111
7.6.3 Power Distribution 111
7.6.4 Consumer Consumption 112
7.7 Bottleneck Areas of Existing System 112
7.8 Fusion of Energy Internet with IoT and Blockchain 113
7.9 Challenges for Safe and Secured Ecosystem
in Energy Internet 116
7.9.1 The Case of Smart Grids 117
7.9.2 The Case of Smart Cities 119
References 121
8 A Novel Framework for Intelligent Spaces 127
Deepali Kamthania
8.1 Introduction 127
8.2 Intelligent Space 128
8.2.1 Sensing 128
8.2.2 Multimodal Perception 129
8.2.3 Context-Based Data Interpretation 129
8.2.4 Narrative Engines 129
8.3 Product Identification 130
8.4 Position Measurements 131
8.5 Proposed Framework 134
8.6 Conclusions 136
References 136
9 Defense and Isolation in the Internet of Things 141
Ravi Kumar Sharma, Tejinder Pal Singh Brar and Parul Gandhi
9.1 Introduction 142
9.1.1 IoT Reference Model 143
9.1.2 IoT Security Threats 144
9.1.3 IoT Security Requirements 145
9.1.3.1 Scale 146
9.1.3.2 IP Protocol-Based IoT 146
9.1.3.3 Heterogeneous IoT 147
9.1.3.4 Lightweight Security 147
9.2 IoT Security Overview 149
9.2.1 IoT Protocols 149
9.2.2 Network and Transport Layer Challenges 152
9.2.3 IoT Gateways and Security 152
9.2.4 IoT Routing Attacks 153
