Titlebook: Blockchain and Trustworthy Systems; Second International Zibin Zheng,Hong-Ning Dai,Benhui Chen Conference proceedings 2020 Springer Nature

Ledger

Modeling and Verification of the Nervos CKB Block Synchronization Protocol in UPPAALronization protocol is an important part of the Nervos CKB, which provides a set of rules that participating nodes must obey while synchronizing their blocks. The protocol contains three stages: Connecting Header, Downloading Block and Accepting Block. In this paper, we develop the formal model of t

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A Blockchain Consensus Mechanism for Marine Data Management Systemas great application potential in the marine field. Its “decentralized” feature can maintain data security and reliability through decentralized methods. Marine data management system is one of the specific application scenarios that blockchain technology is used to protect marine network data infor

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The Framework of Consensus Equilibria for Gap Games in Blockchain Ecosystems to explain the stable in the sense for the existence of consensus equilibria related to mining gap game’s behaviors by using one new concept called “Consensus Games” under the environment of Blockchain Ecosystems, where, the Blockchain Ecosystem mainly means the economic activities by taking into t

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DP-Hybrid: A Two-Layer Consensus Protocol for High Scalability in Permissioned Blockchaintance. In these industries applications, the permissioned blockchain maintained by multiple participants often has a large number of nodes. The PBFT consensus is commonly used in the permissioned blockchain, but it requires a large amount of message transmission to reach consensus, resulting in poor

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PBFT Consensus Performance Optimization Method for Fusing C4.5 Decision Tree in Blockchain chain finance, credit reporting and other fields. However, in the actual blockchain system application, there are two main problems in the Hyperledger Fabric license alliance chain based on the Practical Byzantine Fault Tolerance (PBFT) consensus mechanism: 1) The non-honesty node acts as the prima

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Blockchain-Based Participant Selection for Federated Learning benefited from the rich local datasets, while preserving the privacy of local training dataset in each participant. This is because only the training results, i.e., the updated model parameters and model weights are needed to report to the FL server for aggregation in each round of FL-training. How

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PSM,: A Privacy-Preserving Self-sovereign Match-Making Platformnd users are only required to provide their personal information and preferences to match with others, which is accurate and efficient. However, as data privacy laws such as European Union(EU)’s General Data Protection Regulations(GDPR) aims to give control back to consumers over their personal data