Table of Contents

Contents

Preface vii

Acknowledgments ix

About the Editors xi

TRACK 1 Blockchain: Background and Importance 1

1 Fundamentals of Blockchain and Distributed Ledger Technology (DLT) 3

Leema Roselin G, Rajmohan R, Usharani S, Kiruba K, Manjubala P

2 Blockchain for Information Systems Applications 39

Divya Stephen, Blesmi Rose Joseph, Neeraja James, and Aswathy S.U.

3 A Dynamic Trust Model for Blockchain-Based Supply Chain Management Networks 59

Shivam Narula, Annapurna Jonnalgadda, and Aswani Kumar Cherukuri

TRACK 2 Blockchain for Information Systems: New Methods

for Day-to-Day Problems 75

4 Blockchain and IoT Technologies to Improve the Agricultural Food Supply Chain 77

Saranya P, Maheswari R, and Tanmay Kulkarni

5 A Novel Hybrid Chaotic Map–Based Proactive RSA Cryptosystem in Blockchain 87

S. Selvi and M. Vimala Devi

6 Institutional Technologies for Blockchain: Implications and Policies 99

Shyam Mohan J.S., S. Ramamoorthy, Narasimha Krishna Amruth Vemuganti,

Vankadara Naga Venkata Kuladeep, and Raghuram Nadipalli

7 Two-Fold Security Model Using 2D-Vector Key Bunch and Privacy

Preservation of the EHRs in the Distributed Network Involving Blockchain 117

Shirisha Kakarla, Geeta Kakarla, and D. Narsinga Rao

TRACK 3 Blockchain in the Near Future: Possible Uses and Research Gaps 139

8 Analysis of Security and Privacy Aspects of Blockchain Technologies from

Smart Era’ Perspective: The Challenges and a Way Forward to Future 141

Amit Kumar Tyagi

9 Applications of Blockchain Technologies in Digital Forensics and Threat Hunting 159

Shabnam Kumari, Amit Kumar Tyagi and G. Rekha

10 Healthcare Solutions for the Next Generation: A Useful Explanation

from the User’s Perspective 175

Amit Kumar Tyagi, Meenu Gupta, Aswathy S.U., and Chetanya Ved

11 Blockchain-Based Medical Insurance Storage Systems 219

Ciza Thomas, Bindu V, Amrutha Ann Aby, Anjalikrishna U.R., Anu Kesari,

and Dhanya Sabu

12 Hybrid Multilevel Fusion: Integrating Score and Decision Levels of Fusion

for Multimodal Biometric Systems 237

Aarohi Vora, Chirag Paunwala, and Mita Paunwala

13 Blockchain: A Security Component for Data Security and Privacy—Current

Trends in the Automotive Industry 247

Sruti C R, S Umamaheswari

TRACK 4 Blockchain with Other Computing Environments 259

14 The Future of Edge Computing with Blockchain Technology: Possibility of

Threats, Opportunities, and Challenges 261

Aswathy S. U., Amit Kumar Tyagi and Shabnam Kumari

15 CryptoCert: A Blockchain-Based Academic Credential System 293

Varun Wahi, Aswani Kumar Cherukuri, Kathiravan Srinivasan,

and Annapurna Jonnalagadda

16 A Comprehensive Transformative Effect of IoT, Machine Learning,

and Blockchain in Computing Technology 315

Deepshikha Agarwal, Khushboo Tripathi, and Kumar Krishen

Index 343

About the Author

Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute

of Technology (VIT), Chennai Campus, India. He earned his PhD in 2018 from Pondicherry Central

University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) from 2009–

2010 and 2012–2013. He was Assistant Professor and Head Researcher at Lingaya’s Vidyapeeth (formerly

known as Lingaya’s University), Faridabad, Haryana, India from 2018 to 2019. Dr. Tyagi’s current research

focuses on machine learning with big data, blockchain technology, data science, cyberphysical systems,

smart and secure computing and privacy. He contributed to several projects such as “AARIN” and “P3-

Block” to address some of the open issues related to the privacy breaches in vehicular applications (such

as parking) and medical cyberphysical systems (MCPS). He has also published more than 8 patents in the

area of deep learning, Internet of Things, cyberphysical systems and computer vision. Recently, he was

awarded best paper award for “A Novel Feature Extractor Based on the Modified Approach of Histogram of

oriented Gradient”, ICCSA 2020, Italy. He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan

Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research

Network, CSI, and ISTE.

Ajith Abraham is Director of Machine Intelligence Research Labs (MIR Labs), a not-for-profit scientific

network for innovation and research excellence connecting industry and academia. As an investigator and

co-investigator, he has won research grants worth over US$100 million from Australia, USA, EU, Italy,

Czech Republic, France, Malaysia, and China. His research focuses on real world problems in the fields

of machine intelligence, cyberphysical systems, Internet of Things, network security, sensor networks,

web intelligence, web services, and data mining. He is Chair of the IEEE Systems Man and Cybernetics

Society Technical Committee on Soft Computing. He is editor-in-chief of Engineering Applications of

Artificial Intelligence (EAAI) and serves/served on the editorial board of several international journals.

He earned his Ph.D. in computer science from Monash University, Melbourne, Australia.