Blockchain Technology and Application

7th CCF China Blockchain Conference, CBCC 2024, Shanghai, China, December 13–15, 2024, Revised Selected Papers, Part I

AvLiehuang Zhu,Yi Sun

Häftad, Engelska, 2025

Del i serien Communications in Computer and Information Science

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Beskrivning

This book CCIS 2497 constitutes the refereed proceedings of the 7th CCF China Blockchain Summit on Blockchain Technology and Application, CBCC 2024, held in Shanghai, China, during December 13–15, 2024.

Produktinformation

Utgivningsdatum:2025-06-12
Mått:155 x 235 x 16 mm
Vikt:446 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:274
Förlag:Springer Nature Switzerland AG
ISBN:9789819662319

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

Blockchain Architecture.- EchoShard: A Blockchain Sharding System for Efficient Execution of Cross-Shard Smart Contract Transactions.- Tower: A Layered Approach to Sharding Blockchain for Enhanced Processing Efficiency.- Enhancing Hyperledger's Ordering Service: A Raft-Based Sharding Mechanism.- Sharding Scheme based on Hybrid Trust Model.- A Cross-chain Transmission Protocol Based Oracle.- Innovative Applications of Blockchain.- Organization-wide Distributed Access Control for Zero Trust Security based on a Consortium Blockchain.- CGDC: A Secure External Data Collection Mechanism for Blockchain.- BDIA-Sensor: Blockchain-Based Distributed Identity Authentication for Sensors in Carbon Data Tracing.- Blockchain Price Oracles for Digital Asset Trading.- Quality Traceability System for Garlic Sprout Products Based on Blockchain Technology.- Consensus Mechanism and Smart Cntracts.- Improved PBFT Consensus Algorithm Based on Clustering and Reputation Value for IoT.- GRDPoS: Improvement of the DPoS Consensus Mechanism Based on Complex Networks.- SmartAR: Gas-Efficient Automated Repair for Integer Overflow Vulnerabilities in Smart Contracts.- HETCN: A Highly Efficient Temporal Convolutional Neural Network for Vulnerability Detection in Smart Contracts.