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Titlebook: Blockchain and Trustworthy Systems; 4th International Co Davor Svetinovic,Yin Zhang,Xingping Chen Conference proceedings 2022 The Editor(s)

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發(fā)表于 2025-3-26 21:22:07 | 只看該作者
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發(fā)表于 2025-3-27 04:31:04 | 只看該作者
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發(fā)表于 2025-3-27 07:51:37 | 只看該作者
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發(fā)表于 2025-3-27 11:22:18 | 只看該作者
DataAttest: A Framework to Attest Off-Chain Data AuthenticityDataAttest also adopts two optimization strategies to accelerate DAP verification and minimize the overhead brought by DAP construction. We implement DataAttest and evaluate it on a real-world system. The experimental results show that DataAttest can effectively check data authenticity and the overh
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發(fā)表于 2025-3-27 13:53:05 | 只看該作者
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發(fā)表于 2025-3-27 20:34:15 | 只看該作者
Blockchain-Enabled Techniques for Energy Internet of Things: A Review field from the three technical dimensions of smart contract, consensus protocol, and cross-chain communication. In addition, we summarize the performance evaluation methods of the blockchain-based EIoT scheme. Furthermore, we discuss the challenges associated with blockchain technology in the field
37#
發(fā)表于 2025-3-27 23:43:08 | 只看該作者
Collusion Attack Analysis and Detection of DPoS Consensus Mechanismpower index and Banzhaf power index in weighted voting games of DPoS, which calculated different values that DPoS suffered attacks during the voting phase. Experimental results show that collusion attacks in DPoS can be effectively detected by this method. In addition, the analysis results can furth
38#
發(fā)表于 2025-3-28 04:07:18 | 只看該作者
Decentralized Blockchain Transaction Scheme Based on Digital Commitmente commitment can be directly updated in the encrypted state and relevant parameters do not need to be transported multiple times. The transaction scheme proposed in this paper is with better efficiency and provable security, which provides a novel idea for the secure transaction framework in the blo
39#
發(fā)表于 2025-3-28 07:42:46 | 只看該作者
Research on Abnormal Transaction Detection Method for Blockchainrmal nodes and non-abnormal nodes classification model is obtained. And the abnormal transactions of blockchain is detected by using the classification model. Experimental results show that compared with traditional algorithms such as logistic regression (LR), multi-layer perceptron (MLP) and linear
40#
發(fā)表于 2025-3-28 12:55:23 | 只看該作者
https://doi.org/10.1007/978-3-662-64800-1chain and decentralized storage network (DSN). The framework consists of two subsystems where the identity subsystem contains an extensible three-tier user identity model atop decentralized identity, and the agreement signing subsystem, empowered by the identity subsystem, DSN and several novel desi
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