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  • Produktbild: Blockchain and Web3.0 Technology Innovation and Application
  • Produktbild: Blockchain and Web3.0 Technology Innovation and Application
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Blockchain and Web3.0 Technology Innovation and Application First Conference, BWTAC 2024, Guangzhou, China, November 6–8, 2024, Proceedings

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83,99 € UVP 98,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2024

Abbildungen

XV, 513 p. 180 illus., 149 illus. in color.

Herausgeber

Gansen Zhao + weitere

Verlag

Springer Singapore

Seitenzahl

513

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

797 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9794-11-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2024

Abbildungen

XV, 513 p. 180 illus., 149 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

513

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

797 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9794-11-9

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Blockchain and Web3.0 Technology Innovation and Application
  • Produktbild: Blockchain and Web3.0 Technology Innovation and Application
  • .- 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.