Blockchain Technology and Application : 7th CCF China Blockchain Conference, CBCC 2024, Shanghai, China, December 13-15, 2024, Revised Selected Papers, Part II (Communications in Computer and Information Science)

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Blockchain Technology and Application : 7th CCF China Blockchain Conference, CBCC 2024, Shanghai, China, December 13-15, 2024, Revised Selected Papers, Part II (Communications in Computer and Information Science)

Zhu, Liehuang (EDT)/ Sun, Yi (EDT)/ Zhu, Jianming (EDT)

ウェブストア価格 ¥13,450（本体¥12,228）
Springer Nature Switzerland AG（2025/06発売）
外貨定価 US$ 64.99
ポイント 122pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 247 p.
言語 ENG
商品コード 9789819662425

Full Description

This book CCIS 2498 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.

The 15 full papers were carefully reviewed and selected from 151 submissions. The proceedings focused on discussing the latest developments in blockchain theory and technology, exchanging the latest application achievements of blockchain in distributed systems, cryptography, data elements, economic models, regulatory technology, metaverse and Web3.0.

Blockchain and Data Elements.- Storage Contract Scheme for Wind Energy Big Data Based on Ethereum.- Data Authentication Mechanism in Internet of Vehicles for Digital Identity Verification with Identity-Based Proxy Homomorphic Signatures.- A Fine-Grained Multicryption Strategy Data Sharing Scheme for Biological Experiments Empowered by Block-Chain.- A Data Element Transaction Method Based on Range Zero-Knowledge Proofs and Nash Bargaining.- Security and Privacy for Blockchain.- A Novel Method for Block Propagation with Erasure Coding.- Improved HybridNet: A Hybrid Graph Neural Network for Anomaly Detection in the Bitcoin Network.- Practical Research on the Hot and Cold Hierarchical Storage Algorithm in ChainMaker.- A Data Validation Scheme Based on Binary Huffman Tree Structures and Its Exploration in Blockchain Applications.- DEDF: A Dual-Engine-Driven Framework for Blockchain Ecosystem Security Regulation.- Research on Privacy-Enhanced Fine-Grained Access Control and Permission Attribute Storage Methods Based on Blockchain in Data Sharing Scenarios.- Semi-Hidden Channel: Research on the Application of Privacy Protection Channel Based on Bitcoin Lightning Network.- PCSR: Privacy Computing Strategy Recommendation Model Based on Deep Learning.- Optimized Design and Implementation of the FPGA-Based SM2 Algorithm.- SPOR: A Lightweight Block Cipher that is Based on a High-Performance S-Box.- Implementation of a Two-Party Collaborative SM2 Signature Scheme and Its Application in Blockchain Governance Scenarios.