PSFQ:基于区块链的隐私保护和可验证的学生反馈问卷平台

IF 2.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Wangze Ni, Pengze Chen, Lei Chen
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引用次数: 0

摘要

近年来,越来越多的高等院校开始采用学生反馈问卷对教学进行评价。然而,现有的SFQ系统有两个缺点。首先,SFQ的应答者不是匿名的。二是SFQs的统计报告可以被操纵。为了解决这两个缺点,我们开发了一种新的SFQ系统,即PSFQ。在PSFQ中,一个SFQ的应答者通过环签名与多个用户混合。PSFQ采用先进的环签名方法,在满足匿名性要求的情况下,将环签名的大小最小化。这样,第一个缺点就克服了。并且,所有的答案都经过同态加密加密并存储在区块链上,用户可以验证统计报告的正确性。我们的演示将展示PSFQ如何提供保密的SFQ响应,同时确保统计报告的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSFQ: A Blockchain-Based Privacy-Preserving and Verifiable Student Feedback Questionnaire Platform
Recently, more and more higher education institutions have been using student feedback questionnaires (SFQ) to evaluate teaching. However, existing SFQ systems have two shortcomings. The first is that the respondent of an SFQ is not anonymous. The second is that the statistical report of SFQs can be manipulated. To tackle these two shortcomings, we develop a novel SFQ system, namely PSFQ. In PSFQ, the respondent of an SFQ is mixed with multiple users by a ring signature. PSFQ uses an advanced ring signature approach to minimize the size of a ring signature when anonymity satisfies the requirements. Thus, the first shortcoming has been overcome. Moreover, all answers are encrypted by homomorphic encryption and stored on the blockchain, enabling users to verify the correctness of the statistical reports. Our demonstration will showcase how PSFQ provides confidential SFQ responses while ensuring the correctness of statistical reports.
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来源期刊
Proceedings of the Vldb Endowment
Proceedings of the Vldb Endowment Computer Science-General Computer Science
CiteScore
7.70
自引率
0.00%
发文量
95
期刊介绍: The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.
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