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Lightweight Instance Batch Schemes Towards Prover-Efficient Decentralized Private Computation

  • Ziyu Meng
  • , Zibo Zhou
  • , Zongyang Zhang*
  • , Yu Jin
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Batch schemes provide a way to amortize the cost of NP verifiers across multiple instances. In this work, we introduce an instance batch scheme that allows a prover to iteratively prove the correctness of multiple executions of a function F. For N instance-witness tuples where each represents one correct execution of F on given inputs, our scheme could batch them into two tuples and therefore reduce the task of verifying these tuples into the task of verifying only two tuples. Specifically, the prover complexity is O(N) multi-exponentiations of size |F|, the verifier complexity is O(|F|) field multiplications, and the proof size is O(|F|) field elements, where |F| denotes the size of F. Moreover, we provide a technique that allows multiple provers to generate a proof parallelly, which would accelerate the proof generation process in practice.    We apply our batch scheme to the Decentralized Private Computation (DPC) scenario and implement this application. The benchmark results show that the proving time has been reduced by approximately 9%∼11% compared with the state-of-the-art DPC scheme.

源语言英语
主期刊名Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Proceedings
编辑Tianqing Zhu, Yannan Li
出版商Springer Science and Business Media Deutschland GmbH
64-83
页数20
ISBN(印刷版)9789819751006
DOI
出版状态已出版 - 2024
活动29th Australasian Conference on Information Security and Privacy, ACISP 2024 - Sydney, 澳大利亚
期限: 15 7月 202417 7月 2024

丛书

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
14897 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议29th Australasian Conference on Information Security and Privacy, ACISP 2024
国家/地区澳大利亚
Sydney
时期15/07/2417/07/24

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