论文标题
Open-Pub：基于区块链的透明但保留隐私的学术出版物系统
Open-Pub: A Transparent yet Privacy-Preserving Academic Publication System based on Blockchain
论文作者
论文摘要
最新研究结果的学术出版物对于促进所有学科的发展至关重要。但是，当前的学术出版系统中有几个严重的缺点。首先是由于不透明的纸质审查过程，在发布过程中的不当行为。匿名审稿人可能会对论文发表有偏见的评论而不会被注意到，因为很少发表评论以进行评估。其次，访问研究论文仅限于订户，甚至作者也无法访问自己的论文。为了解决上述问题，我们提出了使用区块链技术的开放式PUB，这是一种分散，透明但保护隐私的学术出版物计划。在Open-Pub中，我们首先设计了一个基于阈值的组签名（TIBGS），该签名（TIBG）使用可验证的秘密共享保护签名者的身份。然后，我们开发出强大的双盲机制来保护作者和审阅者的身份。有了这种强大的双盲机制，作者可以选择匿名提交论文，验证者根据其研究兴趣将论文匿名向审稿人分发。此过程是在区块链上公开记录和可追溯的，以实现透明的同行预览。为了评估其效率，我们基于以太坊实施开放式PUB，并进行全面的实验以评估其性能，包括计算成本和处理延迟。实验结果表明，开放式PUB在计算和处理匿名交易方面高效。
Academic publications of latest research results are crucial to advance the development of all disciplines. However, there are several severe disadvantages in current academic publication systems. The first is the misconduct during the publication process due to the opaque paper review process. An anonymous reviewer may give biased comments to a paper without being noticed because the comments are seldom published for evaluation. Second, access to research papers is restricted to only subscribers, and even the authors cannot access their own papers. To address the above problems, we propose Open-Pub, a decentralized, transparent yet privacy-preserving academic publication scheme using the blockchain technology. In Open-Pub, we first design a threshold identity-based group signature (TIBGS) that protects identities of signers using verifiable secret sharing. Then we develop a strong double-blind mechanism to protect the identities of authors and reviewers. With this strong double-blind mechanism, authors can choose to submit papers anonymously, and validators distribute papers anonymously to reviewers on the blockchain according to their research interests. This process is publicly recorded and traceable on the blockchain so as to realize transparent peer preview. To evaluate its efficiency, we implement Open-Pub based on Ethereum and conduct comprehensive experiments to evaluate its performance, including computation cost and processing delay. The experiment results show that Open-Pub is highly efficient in computation and processing anonymous transactions.
