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Recent Trends in Blockchain for Information Systems Security and Privacy [Kõva köide]

Edited by , Edited by (Machine Intelligence Research Labs, USA)
  • Formaat: Hardback, 346 pages, kõrgus x laius: 254x178 mm, kaal: 453 g, 20 Tables, black and white; 73 Line drawings, black and white; 39 Halftones, black and white; 112 Illustrations, black and white
  • Ilmumisaeg: 24-Nov-2021
  • Kirjastus: CRC Press
  • ISBN-10: 036768943X
  • ISBN-13: 9780367689438
  • Formaat: Hardback, 346 pages, kõrgus x laius: 254x178 mm, kaal: 453 g, 20 Tables, black and white; 73 Line drawings, black and white; 39 Halftones, black and white; 112 Illustrations, black and white
  • Ilmumisaeg: 24-Nov-2021
  • Kirjastus: CRC Press
  • ISBN-10: 036768943X
  • ISBN-13: 9780367689438
Blockchain technology is an emerging distributed, decentralized architecture and computing paradigm, which has accelerated the development and application of cloud, fog and edge computing; artificial intelligence; cyber physical systems; social networking; crowdsourcing and crowdsensing; 5g; trust management and finance; and other many useful sectors.

Nowadays, the primary blockchain technology uses are in information systems to keep information secure and private. However, many threats and vulnerabilities are facing blockchain in the past decade such 51% attacks, double spending attacks, etc. The popularity and rapid development of blockchain brings many technical and regulatory challenges for research and academic communities. The main goal of this book is to encourage both researchers and practitioners of Blockchain technology to share and exchange their experiences and recent studies between academia and industry.

The reader will be provided with the most up-to-date knowledge of blockchain in mainstream areas of security and privacy in the decentralized domain, which is timely and essential (this is due to the fact that the distributed and p2p applications are increasing day-by-day, and the attackers adopt new mechanisms to threaten the security and privacy of the users in those environments). This book provides a detailed explanation of security and privacy with respect to blockchain for information systems, and will be an essential resource for students, researchers and scientists studying blockchain uses in information systems and those wanting to explore the current state of play.
Preface vii
Acknowledgments ix
Editors xi
Contributors xiii
TRACK 1 Blockchain: Background and Importance
1(74)
1 Fundamentals of Blockchain and Distributed Ledger Technology (DLT)
3(36)
Leema Roselin G
Rajmohan R
Usharani S
Kiruba K
Manjubala P
2 Blockchain for Information Systems Applications
39(20)
Divya Stephen
Blesmi Rose Joseph
Neeraja James
Aswathy S.U.
3 A Dynamic Trust Model for Blockchain-Based Supply Chain Management Networks
59(16)
Shivam Narula
Annapuma Jonnalgadda
Aswani Kumar Cherukuri
TRACK 2 Blockchain for Information Systems: New Methods for Day-to-Day Problems
75(64)
4 Blockchain and IoT Technologies to Improve the Agricultural Food Supply Chain
77(10)
Saranya P
Maheswari R
Tanmay Kulkarni
5 A Novel Hybrid Chaotic Map-Based Proactive RSA Cryptosystem in Blockchain
87(12)
S. Selvi
M. Vimala Devi
6 Institutional Technologies for Blockchain: Implications and Policies
99(18)
Shyam Mohan J.S.
S. Ramamoorthy
Narasimha Krishna Amruth Vemuganti
Vankaddra Naga Venkata Kuladeep
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(22)
Shirisha Kakarla
Geeta Kakarla
D. Narsinga Rao
TRACK 3 Blockchain in the Near Future: Possible Uses and Research Gaps
139(120)
8 Analysis of Security and Privacy Aspects of Blockchain Technologies from Smart Era' Perspective: The Challenges and a Way Forward to Future
141(18)
Amit Kumar Tyagi
9 Applications of Blockchain Technologies in Digital Forensics and Threat Hunting
159(16)
Shabnam Kumari
Amit Kumar Tyagi
G. Rekha
10 Healthcare Solutions for the Next Generation: A Useful Explanation from the User's Perspective
175(44)
Amit Kumar Tyagi
Meenu Gupta
Aswathy S.U.
Chetanya Ved
11 Blockchain-Based Medical Insurance Storage Systems
219(18)
Ciza Thomas
Bindu V
Amrutha Ann Aby
Anjalikrishna U.R.
Anu Kesari
Dhanya Sabu
12 Hybrid Multilevel Fusion: Integrating Score and Decision Levels of Fusion for Multimodal Biometric Systems
237(10)
Aarohi Vora
Chirag Paunwala
Mita Paunwala
13 Blockchain: A Security Component for Data Security and Privacy--Current Trends in the Automotive Industry
247(12)
Sruti C. R.
S. Umamaheswari
TRACK 4 Blockchain with Other Computing Environments
259(84)
14 The Future of Edge Computing with Blockchain Technology: Possibility of Threats, Opportunities, and Challenges
261(32)
Aswathy S.U.
Amit Kumar Tyagi
Shabnam Kumari
15 CryptoCert: A Blockchain-Based Academic Credential System
293(22)
Varun Wahi
Aswani Kumar Cherukuri
Kathiravan Srinivasan
Annapurna Jonnalagadda
16 A Comprehensive Transformative Effect of IoT, Machine Learning, and Blockchain in Computing Technology
315(28)
Deepshikha Agarwal
Khushboo Tripathi
Kumar Krishen
Index 343
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 20122013. He was Assistant Professor and Head Researcher at Lingayas Vidyapeeth (formerly

known as Lingayas University), Faridabad, Haryana, India from 2018 to 2019. Dr. Tyagis 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.