Study of Blockchains’s Consensus Mechanism Based on Credit

Wang, Yuhao; Cai, Shaobin; Lin, Chuanlong; Chen, Zuxi; Wang, Tian; Gao, Zhenguo; Zhou, Changli

doi:10.1109/access.2019.2891065

Cited by 101 publications

(47 citation statements)

References 9 publications

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“…However, there is a concern about malicious users may continue to use detection programs to send messages to Ethereum to establish more contracts or authentication, and try to obtain more token rewards. A possible solution maybe inherited from [25]. A status of revalidation maybe set only after the website has been detected for an estimated period of time, or classify users according to its credit state such as Credible, Normal, Excepted and Invalid level [25] to prevent intentional user.…”

Section: G Discussionmentioning

confidence: 99%

“…A possible solution maybe inherited from [25]. A status of revalidation maybe set only after the website has been detected for an estimated period of time, or classify users according to its credit state such as Credible, Normal, Excepted and Invalid level [25] to prevent intentional user. This idea may leave to researcher for further investigation in the future.…”

Section: G Discussionmentioning

confidence: 99%

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Verification of Cryptocurrency Mining Using Ethereum

Shih

Hsu

et al. 2020

IEEE Access

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With advancement in computer technology, financial technology has also evolved. Blockchain technology has evolved over the past decade; however, this has also resulted in some malicious attacks. To earn mining rewards of a blockchain, a new type of attack, called cryptojacking, has emerged in the online world. This attack uses the computer resources of a victim to obtain mining rewards without user confirmation. However, this monetization model was originally intended to replace advertising as a source of revenue for a website. To resolve such problems, a storage verification architecture based on smart contracts was proposed in the study. The decentralized system of blockchain enables users to identify and participate in verification of mining sites through Ethereum smart contracts.

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Section: G Discussionmentioning

confidence: 99%

Section: G Discussionmentioning

confidence: 99%

Verification of Cryptocurrency Mining Using Ethereum

Shih

Hsu

et al. 2020

IEEE Access

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“…Therefore, blockchain technology has a consensus algorithm module. The consensus mechanism is used to make the consistency of the content recorded by each node in the blockchain when there is no intermediate institution [31]. And it can establish an internal consensus mechanism that can enforce mutual trust among nodes, so that nodes can operate stably in the deblocking chain without the third-party organization [32].…”

Section: B the Key Technology Of Blockchainmentioning

confidence: 99%

Energy Transaction for Multi-Microgrids and Internal Microgrid Based on Blockchain

et al. 2020

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With the decreasing reserves of fossil energy and the increasing capacity of renewable energy generation, the scale of microgrid based on distributed generations is expanding. However, more operation data and transaction information of microgrids will also bring several problems: the sufficient capacity of the server in the central management needed, the crises of trust among members, the transparency of transaction information and the confidentiality of data storage. In this paper, blockchain technology is used to deal with these problems as distributed data storage technology. A double-layer framework of energy transactions based on blockchain in multi-microgrids is proposed to provide decentralized trading, information transparency and mutual trust system of each node in the trading market. The central node within the microgrid collects the demand information of the trading market in lower layer and sends them to the trading market of multi-microgrids in higher layer to seek the energy transaction. The continuous double auction mechanism is used in the trading market to guarantee free and fair transactions among nodes. The proposed transaction framework effectively reduces the transaction volume with the main grid which improves energy utilization. Comprehensive simulation results are presented to prove the feasibility of the proposed transaction framework. INDEX TERMS Renewable energy generation, multi-microgrids, blockchain, decentralized, energy transaction.

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“…At present, the equation algorithm can no longer be well applied to the new blockchain environment, so the existing equation algorithm has to be improved. The practical byzantine fault tolerance (PBFT) algorithm can reduce the complexity of the original byzantine fault tolerance algorithm while improving the calculation efficiency without influence on the security of the algorithm [32,33]. However, the PBFT algorithm needs to give a limited condition to each node of the copy.…”

Section: Improvement Of Consensus Algorithm Of Digital Music Copyrmentioning

confidence: 99%

Usage of Deep Learning and Blockchain in Compilation and Copyright Protection of Digital Music

Cai

2020

IEEE Access

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In order to explore the application of deep learning algorithms in arrangement and composition, and the role of blockchain in the protection of digital music copyright, a monophonic melody composition model based on the deep generative adversarial networks (DCGANs) is constructed firstly, and the composition performance of the model is analyzed using hymn as input sample in this study. Later, the multi-instrument co-arrangement (MICA) model based on the multi-task learning is proposed, and the composition performance is analyzed by taking the actual music as an input sample. Finally, the improved practical byzantine fault tolerance (IPBFT) algorithm is proposed, and a digital music copyright protection system is designed based on the blockchain in this study. The results indicate that the accuracies constructed DCGANs model in predicting the Soprano and Alto voice melody are higher than those of the DeepBatch model by 2.29% and 3.32%, respectively. The performance on the harmony score, note accuracy, levenshtein similarity (LS), notes distribution mean square error, and empty as well as the convergence speed of the constructed MICA model are better than those of other models. The average transaction per second (TPS) value of the proposed IPBFT algorithm in the real digital music copyright protection system is 3469, which is superior to other blockchain technologies. Finally, the digital music copyright protection system is achieved, the error rate of completing the request is 0% in the state of many users operating concurrently, and a high TPS value can be guaranteed. In short, the DCGANs and MICA models pointed out in this study can be used in the composition of monophonic melodies and complex melodies, and the digital music copyright protection system based on the blockchain has excellent performance in practical applications.

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Study of Blockchains’s Consensus Mechanism Based on Credit

Cited by 101 publications

References 9 publications

Verification of Cryptocurrency Mining Using Ethereum

Verification of Cryptocurrency Mining Using Ethereum

Energy Transaction for Multi-Microgrids and Internal Microgrid Based on Blockchain

Usage of Deep Learning and Blockchain in Compilation and Copyright Protection of Digital Music

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