基于信誉的区块链网络分片动态重组方案

IF 3.2 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Connection Science Pub Date : 2024-03-12 DOI:10.1080/09540091.2024.2327438
Shuhui Zhang, Hanwen Tian, Lianhai Wang, Shujiang Xu, Wei Shao
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引用次数: 0

摘要

虽然分片技术有助于解决传统区块链网络的性能瓶颈,但它也带来了新的挑战。随机节点分配可能会导致恶意代码的分布不均。
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A reputation-based dynamic reorganization scheme for blockchain network sharding
While sharding technology helps solve performance bottlenecks in traditional blockchain networks, it also introduces new challenges. Random node allocation may lead to uneven distribution of malici...
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来源期刊
Connection Science
Connection Science 工程技术-计算机:理论方法
CiteScore
6.50
自引率
39.60%
发文量
94
审稿时长
3 months
期刊介绍: Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.
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