期刊
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
卷 20, 期 1, 页码 708-723出版社
IEEE COMPUTER SOC
DOI: 10.1109/TDSC.2022.3142611
关键词
Blockchains; Indexes; Protocols; Security; Data structures; Costs; Cloud computing; Decentralized storage; blockchain; data integrity auditing; data dynamism
Decentralized storage projects like Filecoin require effective auditing mechanisms to ensure data integrity. We propose a dynamic on-chain auditing protocol that produces small auditor states and compact proofs for auditing dynamic data in decentralized storage. By optimizing data structures and techniques, our protocols achieve significantly better performance than previous dynamic PoS schemes for DS. We also introduce a data abstraction layer for deploying the protocols on different storage systems.
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.
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