Towards Practical Auditing of Dynamic Data in Decentralized Storage

Huayi Duan, Yuefeng Du, Leqian Zheng, Cong Wang, Man Ho Au, Qian Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

22 Citations (Scopus)

Abstract

Decentralized storage (DS) projects such as Filecoin are gaining traction. Their openness mandates effective auditing mechanisms to assure users that their data remains intact. A blockchain is typically employed here as an unbiased public auditor. While the case for static data is relatively easy to handle, on-chain auditing of dynamic data with practical performance guarantees is still an open problem. Dynamic Proof-of-Storage (PoS) schemes developed for conventional cloud storage are not applicable to DS, since they require large storage proofs and/or large auditor states that are unmanageable by a resource-constrained blockchain. To fill the gap, we propose a family of dynamic on-chain auditing protocols that can produce concretely small auditor states while retaining the compact proofs promised by static PoS schemes. Our design revolves around a set of succinct data structures and optimization techniques for index information management. With proper instantiation and realistic parameters, our protocols can achieve 0.25MB on-chain state and 1.2KB storage proof for the auditing of 1TB data, outperforming previous dynamic PoS schemes that are adaptable for DS by orders of magnitude. As another practical contribution, we introduce a data abstraction layer that allows one to deploy the auditing protocols on arbitrary storage systems hosting dynamic data.

Original languageEnglish
Pages (from-to)708-723
Number of pages16
JournalIEEE Transactions on Dependable and Secure Computing
Volume20
Issue number1
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • blockchain
  • data dynamism
  • data integrity auditing
  • Decentralized storage

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

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