Recent Trends in Blockchain for Information Systems Security and Privacy
- Available for pre-order. Item will ship after November 22, 2021
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.
Table of Contents
Track 1: Blockchain – Background and Importance
1. Fundamentals of Blockchain and Distribute Ledger Technology (DLT)
2. Blockchain for Information Systems Applications
3. A dynamic trust model for Blockchain Network
4. Blockchain and IoT Technologies to Improve Agricultural Food Supply Chain
5. A Novel Hybrid Chaotic Map Based Proactive RSA Crypto System in Block Chain
6. Institutional Technologies for Blockchain: Implications and policies
7. Two-fold Security Model using 2d-Vector Key Bunch and Privacy Preservation of the EHRs in the Distributed Network involving Blockchain
8. Analysis of Security and Privacy Aspects of Blockchain Technologies from Smart Era’ Perspective: The Challenges and a Way Forward
9. Applications of Blockchain Technologies in Digital Forensic and Threat Hunting
10. Healthcare Solutions for Next Generation: An Useful Explanation from User’s Perspective
11. Blockchain Based Medical-insurance Storage System
12. Hybrid Multilevel Fusion:Integrating score and decision levels of Fusion for Multimodal Biometric Systems
13. Blockchain: A Security component for Data Security and Privacy in Current Trends in Automotive Industry
14. The Future of Edge Computing with Blockchain Technology: Possibility of Threats, Opportunities and Challenges
15. CryptoCert — A Blockchain based Academic Credential System
16. A Comprehensive Transformative Effect of IoT, Machine Learning and Blockchain in Computing Technology
Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India. He received his Ph.D. Degree in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013. He was an Assistant Professor and Head- Research, Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad, Haryana, India in 2018-2019. His current research focuses on Machine Learning with Big data, Blockchain Technology, Data Science, Cyber Physical Systems, Smart and Secure Computing and Privacy. He has 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 Cyber Physical Systems (MCPS). Also, he has published more than 8 patents in the area of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. Recently, he has awarded best paper award for paper titled “A Novel Feature Extractor Based on the Modified Approach of Histogram of oriented Gradient”, ICCSA 2020, Italy (Europe). 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 the 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 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia and China. His research focuses on real world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is the editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves/served on the editorial board of several International Journals. He received his Ph.D. Degree in Computer Science from Monash University, Melbourne, Australia.