Recent Trends in Blockchain for Information Systems Security and Privacy (PDF)
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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.
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.
- 2021, 1. Auflage, 362 Seiten, Englisch
- Herausgegeben: Amit Kumar Tyagi, Ajith Abraham
- Verlag: Taylor & Francis
- ISBN-10: 1000474399
- ISBN-13: 9781000474398
- Erscheinungsdatum: 23.11.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 22 MB
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