Trust Models for Next-Generation Blockchain Ecosystems / EAI/Springer Innovations in Communication and Computing (PDF)
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This book discusses the trust models for next-generation Blockchain ecosystems. The book provides a comprehensive discussion on various trust factors involving security, anonymization, reputation, governance, economic models, and other relevant determinants. The book covers various topics in breadth and depth. In addition, it sets the foundation to involve the readers in understanding the core theories supplemented with technical and experimental discussion. The book starts by laying out the foundations of trust models in Blockchain ecosystems. The authors then provide a study of existing trust models Blockchain networks. They then provide identification of trust factors and discuss each trust factor. The book concludes with a future outlook of trust-enabling Blockchain ecosystems.
- Outlines the trust models for next-generation Blockchain ecosystems;
- Covers the trust issues in various Blockchain ecosystems running in public, private, consortium, and cloud environments;
- Features issues such has privacy, security, scalability, and requirements in Blockchain.
Davor Svetinovic received the Ph.D. degree in computer science from the University of Waterloo, Canada, 2006. He is currently an Associate Professor of computer science with the Khalifa University of Science and Technology, UAE, and a Research Affiliate with the Media Lab, Massachusetts Institute of Technology (MIT), USA. Previously, he worked as a Visiting Professor at the Massachusetts Institute of Technology (MIT) and a Postdoctoral Researcher at the Lero-the Irish Software Engineering Center, Ireland, and the Vienna University of Technology, Austria. He leads the Strategic Requirements and Systems Security Group (SRSSG), and he has extensive experience working on complex multidisciplinary research
- 2021, 1st ed. 2021, 278 Seiten, Englisch
- Herausgegeben: Muhammad Habib ur Rehman, Davor Svetinovic, Khaled Salah, Ernesto Damiani
- Verlag: Springer International Publishing
- ISBN-10: 3030751074
- ISBN-13: 9783030751074
- Erscheinungsdatum: 21.10.2021
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- Größe: 7.91 MB
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