V-EPTD: A Verifiable and Efficient Scheme for Privacy-Preserving Truth Discovery

Chang Xu*, Hongzhou Rao, Liehuang Zhu, Chuan Zhang, Kashif Sharif

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Privacy-preserving truth discovery has been researched from many perspectives in the past few years. However, the complex iterative computation and multi-user feature makes it challenging to design a verifiable algorithm for it. In this paper, we propose a novel scheme named V-EPTD that not only protects the privacy information but also verifies the computing in truth discovery. The proposed technique adopts a threshold paillier cryptosystem to solve the multi-user problem so that all parties encrypt the data with the same public key while being unable to decrypt the ciphertext if there are not enough parties. V-EPTD also transforms complex iterative computation into polynomials, uses linear homomorphic hash, and commitment complete verification. The experimentation and analysis show that V-EPTD has good performances for users, verifiers, and the server, both in communication overhead and computation overhead.

源语言英语
主期刊名Algorithms and Architectures for Parallel Processing - 21st International Conference, ICA3PP 2021, Proceedings
编辑Yongxuan Lai, Tian Wang, Min Jiang, Guangquan Xu, Wei Liang, Aniello Castiglione
出版商Springer Science and Business Media Deutschland GmbH
447-461
页数15
ISBN(印刷版)9783030953904
DOI
出版状态已出版 - 2022
活动21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021 - Virtual, Online
期限: 3 12月 20215 12月 2021

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13157 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021
Virtual, Online
时期3/12/215/12/21

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