
Distributed Ledger Technology
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
The 8 full papers and the short paper included in this volume were carefully reviewed and selected from 32 submissions. The volume focuses on current systems and new solutions to create a scientific background for a solid development of innovative Distributed Ledger Technology application.
More details
Other editions
Additional editions

Content
- Intro
- Preface
- Organization
- Contents
- One-Phase Batch Update on Sparse Merkle Trees for Rollups
- 1 Introduction
- 2 Preliminaries
- 2.1 Leaf Operation
- 2.2 Sparse Merkle Tree
- 3 Related Work
- 4 One-Phase Batch Update on Sparse Merkle Tree
- 4.1 Leaf Operation Algorithms
- 4.2 Batch Update Algorithm
- 4.3 Comparison
- 5 Experimental Analysis
- 5.1 Experimental Setup
- 5.2 Dataset Collection
- 5.3 Multi-threading Optimisation
- 6 Evaluation
- 6.1 Micro-benchmarks
- 6.2 Macro-benchmark
- 7 Conclusion and Discussion
- 7.1 Future Work
- A zkSync Lite Details
- A.1 Design
- A.2 On-Chain
- A.3 Off-Chain
- B zkSync Lite Transaction Flow
- B.1 Overall Transaction Flow
- B.2 Transaction Flow Within Server
- C zkSync Transaction Types
- C.1 From Transactions to Leaf Operations
- C.2 Normal Transaction Types
- C.3 Priority Transaction Types
- D zkSync Lite Sparse Merkle Tree Usage
- References
- On the Relevance of Blockchain Evaluations on Bare Metal
- 1 Introduction
- 2 Analysis
- 2.1 Cloud Environments
- 2.2 Local Testbeds
- 3 Evaluation
- 3.1 Inter-switch Communication
- 3.2 Isle Scalability
- 3.3 Emulated Latency
- 4 Discussion
- 5 Related Work
- 6 Conclusion
- References
- EVM-Vale: Formal Verification of EVM Bytecode Using Vale
- 1 Introduction
- 2 Background
- 2.1 The Ethereum Virtual Machine
- 2.2 FStar
- 2.3 Vale
- 3 Encoding EVM-R into F* and Raising into Vale
- 3.1 Handling Arithmetic Overflow via Refinement
- 3.2 Unimplemented Features
- 4 Case Studies
- 4.1 Casino
- 4.2 Coin
- 5 Challenges
- 6 Related Work
- 7 Conclusion
- References
- Detecting Malicious Blockchain Transactions Using Graph Neural Networks
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 Data Collection
- 3.2 Data Modelling
- 3.3 Data Pre-processing
- 3.4 Grap Neural Network-Based (GNN) Analysis
- 4 Evaluation
- 5 Conclusion
- References
- Data Sharing Using Verifiable Credentials in the Agriculture Sector
- 1 Introduction
- 2 Implementation of a Decentralized Agricultural Ecosystem
- 2.1 Why Use a Decentralized Model?
- 2.2 Verifiable Data Registry
- 2.3 Verifiable Credential
- 2.4 AnonCreds vs W3C Credentials
- 2.5 Connections, Issuing, Presentation Proof Protocols
- 2.6 Governance
- 2.7 Decentralized Identity Wallet
- 2.8 Personal vs Enterprise Decentralized Identity Wallets
- 3 Conclusions
- References
- Linking NFT Transaction Events to Identify Privacy Risks
- 1 Introduction
- 2 Related Works
- 3 Overview of the Proposed Concept
- 3.1 Data Collection Phase
- 3.2 Visualisation Through Graphs Phase
- 3.3 Analysis Phase
- 4 Data Collection and Processing
- 4.1 Experimental Setup
- 4.2 Data Collection
- 5 Analysis and Discussion
- 5.1 Neo4j Setup
- 5.2 Visualising Through Graph Format
- 5.3 Discussion
- 6 Conclusion
- References
- The Benefits of Non-Fungible Token (NFT) Technology in Music Copyright
- 1 Introduction
- 2 Blockchain Technology and Its Role in NFTs
- 3 Related Works
- 4 Copyright Challenges and Traditional Approaches
- 4.1 Proving Ownership
- 4.2 Licensing Complexity
- 4.3 Royalty Tracking and Copyright Fractionalised Ownership
- 5 Proposed Solution: Integrating NFTs into Music Copyright and Licensing Management
- 5.1 Music Tokenization Through NFTs
- 5.2 Licensing Framework Integrated with NFTs
- 6 Design Overview: Prototype Implementation
- 7 Conclusion
- References
- Central Bank Digital Currency Models
- 1 Introduction
- 2 Background
- 2.1 Digital Payment Systems
- 2.2 CBDCs
- 2.3 Navigating the Emergence of CBDCs
- 2.4 CBDC Design
- 3 CBDC Models
- 3.1 China
- 3.2 Japan
- 3.3 United States
- 3.4 Australia
- 3.5 Discussions
- 4 Observations on CBDC Dynamics
- 4.1 Technological Advancement
- 4.2 Financial Stability
- 4.3 Privacy
- 4.4 Centralised Control
- 5 Conclusion
- References
- Understanding Real-Time Payment Dynamics in Australia
- 1 Introduction
- 1.1 Payment Settlement Time
- 1.2 Payment Cost-to-Cost Money Exchange
- 1.3 Problem Definition
- 2 Real-Time Payment System
- 2.1 Payment System Workflow
- 2.2 Payment Network Provider
- 2.3 Payment Surcharge
- 2.4 Digital Payment - Discussion
- 3 Real Time Payment System (RTPs)
- 3.1 Functionalities: RTPs vs traditional payment
- 3.2 Business Model for RTPs
- 4 RTPs in Australia
- 4.1 New Payments Platform
- 4.2 PayId
- 4.3 Osko Payment
- 4.4 PayTo
- 4.5 Difference Osko and PayTo
- 4.6 Potential Benefits and Use Case of RTPs
- 4.7 Discussion
- 5 Adoption of RTPs in Australia
- 5.1 RTPs Service Providers
- 5.2 Observations
- 5.3 Consumer Behaviour
- 5.4 Strategic Drivers for the Adoption of RTPs
- 5.5 The Network Effect: How Adoption Challenges Grow with User Base
- 5.6 RTPs and Blockchain
- 6 Conclusion
- References
- Author Index
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.