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A Reputation Based Hybrid Consensus for E-Commerce Blockchain

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Web Services – ICWS 2020 (ICWS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12406))

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Abstract

Blockchain can achieve non-tampering, non-repudiation, consistency and integrity that other data management technologies do not have. Especially in peer-to-peer networks, the decentralized nature of blockchain has drawn tremendous attention from academic and industrial communities. Recently, the field of e-commerce has also begun to realize its important role. Although blockchain technology has many advantages in achieving trust establishment and data sharing among distributed nodes, in order to make it better to be applied in e-commerce, it is necessary to improve the security of transactions and the efficiency of consensus mechanisms. In this paper, we present a reputation based hybrid consensus to solve the problem of transaction security and efficiency. Our scheme integrates the reputation mechanism into transactions and consensus, and any improper behavior of nodes will be reflected in the reputation system and fed back to a new round of transactions and consensus. We implement distributed reputation management and enable users to append new reputation evaluations to the transaction that has previously evaluated. Meanwhile, we demonstrated that the scheme can defend against existing attacks such as selfish mining attacks, double spending attacks and flash attacks. We implement a prototype and the result shows that our scheme is promising.

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Acknowledgment

The authors acknowledge the support from National Key R&D Program of China under Grant No.2017YFB1400700 and National Natural Science Foundation of China under Grant No.: 61772514.

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Correspondence to Rui Zhang .

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Sun, Y., Zhang, R., Xue, R., Su, Q., Li, P. (2020). A Reputation Based Hybrid Consensus for E-Commerce Blockchain. In: Ku, WS., Kanemasa, Y., Serhani, M.A., Zhang, LJ. (eds) Web Services – ICWS 2020. ICWS 2020. Lecture Notes in Computer Science(), vol 12406. Springer, Cham. https://doi.org/10.1007/978-3-030-59618-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-59618-7_1

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  • Online ISBN: 978-3-030-59618-7

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