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MaSRChain: A Trusted Manuscript Submission and Review System Based on Blockchain

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Web and Big Data (APWeb-WAIM 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12318))

Abstract

Manuscript submission and review (MaSR) systems play an important role in scholarly publishing. However, there are some problems to be solved. Authors cannot gain an authoritative copyright certificate of manuscripts. Journals and conferences cannot achieve effective detection of multiple contributions with one manuscript. Reviewers may intentionally submit malicious evaluations due to competition. In this paper, we propose a trusted decentralized manuscript submission and review system based on blockchain (MaSRChain) to solve problems above. At first, we use blockchain and Attribute-Based Encryption (ABE) to protect manuscript copyright and realize access control of manuscripts for authors. Secondly, we utilize blockchain to realize manuscript sharing that encrypted by Locality Sensitive Hash (LSH), which can achieve multiple contributions detection among different institutions. Thirdly, we apply Ring Signature to realize authentication of review evaluations, while providing some anonymity to reviewers. Finally, we conduct experiments based on Hyperledger Fabric and experimental results demonstrate the effectiveness and efficiency of the system.

Supported by The Fundamental Research Funds for the Central Universities (NO. DUT19ZD209).

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Authors and Affiliations

  1. School of Software Technology, Dalian University of Technology, Dalian, China

    Fengqi Li, Kemeng Liu, Haoyu Wu & Xu Zhang

Authors
  1. Fengqi Li
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  2. Kemeng Liu
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  3. Haoyu Wu
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  4. Xu Zhang
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Corresponding author

Correspondence to Fengqi Li .

Editor information

Editors and Affiliations

  1. Tianjin University, Tianjin, China

    Xin Wang

  2. University of Melbourne, Melbourn, NSW, Australia

    Rui Zhang

  3. Kyung Hee University, Yongin, Korea (Democratic People's Republic of)

    Young-Koo Lee

  4. Nanjing University of Information Science and Technology, Nanjing, China

    Le Sun

  5. Kangwon National University, Chunchon, Korea (Republic of)

    Yang-Sae Moon

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Li, F., Liu, K., Wu, H., Zhang, X. (2020). MaSRChain: A Trusted Manuscript Submission and Review System Based on Blockchain. In: Wang, X., Zhang, R., Lee, YK., Sun, L., Moon, YS. (eds) Web and Big Data. APWeb-WAIM 2020. Lecture Notes in Computer Science(), vol 12318. Springer, Cham. https://doi.org/10.1007/978-3-030-60290-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-60290-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60289-5

  • Online ISBN: 978-3-030-60290-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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