Privacy Preserving Provable Data Possession: A FHE-based Hash Approach

Sheng Yi Hong, Rui Zhen Xu, Po Wen Chi, Albert Guan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The data privacy nowadays is of importance for every user of cloud service. Meanwhile, proof of data possession (PDP) is also a well-known security issue. In our work, we propose a PDP framework that contains 1) a PDP procedure combine with Fully Homomorphic Encryption (FHE) over Hash (such as MD5 and SHA256) that has capability to check integrity of single file efficiently. 2) A FHE merkle hash tree uses FHE hash function to check the integrity of multiple files under encryption. The proposed approach has been implemented using TFHE library. In the experiment stage, though it takes longer time to do our PDP process, the time complexity is polynomial and thus it is an usable work.

Original languageEnglish
Title of host publicationProceedings - 2023 18th Asia Joint Conference on Information Security, AsiaJCIS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-52
Number of pages6
ISBN (Electronic)9798350341638
DOIs
Publication statusPublished - 2023
Event18th Asia Joint Conference on Information Security, AsiaJCIS 2023 - Hybrid, Tokyo, Japan
Duration: 2023 Aug 152023 Aug 16

Publication series

NameProceedings - 2023 18th Asia Joint Conference on Information Security, AsiaJCIS 2023

Conference

Conference18th Asia Joint Conference on Information Security, AsiaJCIS 2023
Country/TerritoryJapan
CityHybrid, Tokyo
Period2023/08/152023/08/16

Keywords

  • Fully Homomorphic Encryption
  • Hash
  • Proof of Data Possession

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Safety, Risk, Reliability and Quality

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