JOURNAL ARTICLE

Secure cloud storage hits distributed string equality checking: More efficient, conceptually simpler, and provably secure

Abstract

Cloud storage has gained a remarkable success in recent years with an increasing number of consumers and enterprises outsourcing their data to the cloud. To assure the availability and integrity of the outsourced data, several protocols have been proposed to audit cloud storage. Despite the formally guaranteed security, the constructions employed heavy cryptographic operations as well as advanced concepts (e.g., bilinear maps over elliptic curves and digital signatures), and thus are inefficient to admit wide applicability in practice. In this paper, we design a novel secure cloud storage protocol, which is conceptually and technically simpler and significantly more efficient than previous constructions. Inspired by a classic string equality checking protocol in distributed computing, our protocol uses only basic integer arithmetic (without advanced techniques and concepts). As simple as the protocol is, it supports both randomized and deterministic auditing to fit different applications. We further extend the proposed protocol to support data dynamics, i.e., adding, deleting and modifying data, using a novel technique. As a further contribution, we find a systematic way to design secure cloud storage protocols based on verifiable computation protocols. Theoretical and experimental analyses validate the efficacy of our protocol.

Keywords:
Cloud computing Computer science Cloud storage Universal composability Protocol (science) Cryptographic protocol Distributed computing Cryptography String (physics) Outsourcing Cryptographic primitive Theoretical computer science Computer security Operating system Mathematics

Metrics

18
Cited By
3.95
FWCI (Field Weighted Citation Impact)
29
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence
Cryptography and Residue Arithmetic
Physical Sciences →  Computer Science →  Information Systems

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