Blockchain and Web3.0 Technology Innovation and Application (eBook, PDF)

First Conference, BWTAC 2024, Guangzhou, China, November 6-8, 2024, Proceedings
Redaktion: Zhao, Gansen; Zheng, Zibin; Zhu, Liehuang; Tian, Zhihong; Weng, Jian

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the First Conference on Blockchain and Web3 Technology Innovation and Application, BWTAC 2024, held in Guangzhou, China, during, November 6-8, 2024.

The 36 full papers and 9 short papers included in this book were carefully reviewed and selected from 106 submissions. They were categorized in the following topica sections: Architectures and Technologies, Privacy Protection and Data Security, Artificial Intelligences, Security, Trading Systems, Cross Domains Applications and Emerging Technologies.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 513
• Erscheinungstermin: 2. November 2024
• Englisch
• ISBN-13: 9789819794126
• Artikelnr.: 72243202

Inhaltsangabe

.- Behavioral Unicity: On the Limits of Anonymized Social Behavior Metadata.

.- Research on Effects of Blockchain Pilot Programs in Regional Equity Markets Evidence from Participant and Non-Participant Institutions.

.- Tailoring Noise to Fit: An Adaptive Noise Optimization Mechanism against Gradient Leakage.

.- Design of Privacy-Preserving Smart Contracts for Regional Equity Markets.

.- Deep Learning Empowered Blockchain Transaction Prediction and Anomaly Detection.

.- A Blockchain-based Framework for Crowdsourcing Evaluation of Large Language Models.

.- Trusted Data Authorization and Sharing Method Based on Distributed Digital Identity.

.- Secure and Efficient Deduplication for Encrypted Image Data in Cloud Storage.

.- SolSecure: A Security Analyzer for Integer Bugs in Smart Contracts.

.- BBP: Blockchain-enabled Biological Assets Identity Protection System.

.- Accountability Mechanism for Reliable Mobile Crowdsourcing with Efficient Blockchain.

.- Who will be hooked?: A Phishing Fraud Detection Model Based on Dynamic Graph Temporal Feature Coding in Ethereum.

.- Static Analysis Detection of Hyperleger Fabric Read-Write Logic Vulnerability.

.- A Dataset Quality Evaluation Algorithm for Data Trading on Blockchain.

.- A Variable (n, n) Threshold Secret Sharing Scheme Based on Paillier Cryptosystem.

.- Design and Validation of a Hyper-Converged Blockchain Hardware and Software System Based on Domestic Chips.

.- DFADNet: A Diverse-Feature Adaptive Network for Web3.0-oriented Deep Forgery Detection.

.- Privacy Protection Model of International Cold Chain Trade Blockchain Platform Based on Zero-Knowledge Proofs.

.- Blockchain-based Federated Recommendation with Incentive Mechanism.

.- A Treatment of EIP-1559: Enhancing Transaction Fee Mechanism through Nth-Price Auction.

.- Unravelling Stablecoin-favored Ecosystem: Extracting, Exploring On-chain Data from TRON Blockchain.

.- Robust and Efficient Group-Based Ring Federated Learning Framework with Double-Masking Mechanism.

.- Centralized Oracle for Smart Contract Applications, Information Output Methods, and Systems.

.- DataSafe: Copyright Protection with PUF Watermarking and Blockchain Tracing.

.- A GAN anomaly detection method based on multi-scale endogenous enhancement.

.- A Comprehensive Review of Blockchain-Enabled Dynamic and Credible Spectrum Sharing.

.- Heterogeneous Data Fusion Based Vulnerability Detection for Ethereum Smart Contracts.

.- Adaptive Federated Learning Based on Device Performance in a Heterogeneous Environment of Medical Computing Devices.

.- MSCV: A Cross-chain Smart Contract State Data Verification Model Based on MTC.

.- How Does Hashgraph-based Blockchain Work in MANETs: A Theoretical Analysis Model.

.- Heterogeneous Graph Structure Learning Based on Feature and Topology Information Extraction.

.- A blockchain-based traceable and verifiable digital circuit trade method with dual-signature strategy.

.- Personalized medical federated learning based on mutual knowledge distillation in object heterogeneous environment.

.- Cryptocurrency Transaction Anomaly Detection Based on Chebyshev Graph Neural Network.

.- Validating the integrity for Deep Learning Models based on Zero-knowledge proof and Blockchain.

.- CLB-BAFL: Critical Learning Behaviour Verification Mechanism for Blockchain-Based Asynchronous Federated Learning.

.- GeePT: Governance of Efficient and Extensible Privacy-preserving Transaction for Blockchain.

.- HetGNN-TF: Self-supervised Learning on Heterogeneous Graph Neural Network via Topology and Feature Reconstruction.

.- Cooperative Perception and Decision-Making in Internet of Vehicles: A Comprehensive Review of Federated Learning and Blockchain Technology.

.- ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems.

.- Self-Supervised Heterogeneous Graph Neural Network Based on Deep and Broad Neighborhood Encoding.

.- Batch Validation Scheme of Data Feature Requirement in Blockchain-based Data Trading Platform.

.- Research on business process representation based on graph convolutional neural network.

.- Membership Data Privacy Protection and Poisoning Detection Scheme for Federated Learning.

.- Code-based Blockchain Light Node Data Availability Guarantee Method.