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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References
Dansinger, M.: Dear plagiarist: a letter to a peer reviewer who stole and published our manuscript as his own. Ann. Intern. Med. 166(2), 143 (2017)
Tie-cheng, J.I.N.: A review on the research of phenomenon of multiple contributions with one manuscript of journal. J. Henan Univ. Technol. (2005)
Lee, C.J., et al.: Bias in peer review. J. Am. Soc. Inf. Sci. Technol. 64(1), 2–17 (2013)
Androulaki, E., et al.: Hyperledger fabric: a distributed operating system for permissioned blockchains. In: Proceedings of the Thirteenth EuroSys Conference, pp. 1–15 (2018)
Benet, J.: Ipfs-content addressed, versioned, p 2p file system. arXiv preprint arXiv 1407, 3561 (2014)
Manku, G.S., et al.: Detecting near-duplicates for web crawling. In: Proceedings of the 16th International Conference on World Wide Web, pp. 141–150 (2007)
Venkatesan, R., et al.: Robust image hashing. In: Proceedings 2000 International Conference on Image Processing, pp. 664–666. IEEE (2000)
Ying, Z.B., et al.: Partially policy hidden CP-ABE supporting dynamic policy updating. J. Commun. 36(12), 178–189 (2015)
Rivest, R.L., Shamir, A., Tauman, Y.: How to Leak a Secret. In: Boyd, C. (ed.) ASIACRYPT 2001. LNCS, vol. 2248, pp. 552–565. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45682-1_32
Gipp, B., et al.: Cryptsubmit: introducing securely timestamped manuscript submission and peer review feedback using the blockchain. In: JCDL2017, pp. 1–4. IEEE (2017)
Emmadi, N., Maddali, L.P., Sarkar, S.: MaRSChain: framework for a fair manuscript review system based on permissioned blockchain. In: Mencagli, G., et al. (eds.) Euro-Par 2018. LNCS, vol. 11339, pp. 355–366. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-10549-5_28
Tenorio-Fornés, A., et al.: Towards a decentralized process for scientific publication and peer review using blockchain and IPFS. In: Proceedings of the 52nd Hawaii International Conference on System Sciences (2019)
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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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