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Blockchain and Web3.0 Technology Innovation and Application: First Conference, Bwtac 2024, Guangzhou, China, November 6-8, 2024, Proceedings

Blockchain and Web3.0 Technology Innovation and Application: First Conference, Bwtac 2024, Guangzhou, China, November 6-8, 2024, Proceedings (Paperback, 2024)

Gansen Zhao, Jian Weng, Zhihong Tian (엮은이)
Springer
195,520원

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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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책 정보

· 제목 : Blockchain and Web3.0 Technology Innovation and Application: First Conference, Bwtac 2024, Guangzhou, China, November 6-8, 2024, Proceedings (Paperback, 2024) 
· 분류 : 외국도서 > 컴퓨터 > 기업 애플리케이션 > 일반
· ISBN : 9789819794119
· 쪽수 : 513쪽
· 출판일 : 2024-11-03

목차

.- 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.

저자소개

Gansen Zhao (엮은이)    정보 더보기
펼치기
Zhihong Tian (엮은이)    정보 더보기
펼치기
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