Article

Provable data possession at untrusted stores

Authors:

Giuseppe Ateniese,

Joseph Herring,

Zachary Peterson,

Dawn SongAuthors Info & Claims

CCS '07: Proceedings of the 14th ACM conference on Computer and communications security

Pages 598 - 609

https://doi.org/10.1145/1315245.1315318

Published: 28 October 2007 Publication History

Abstract

We introduce a model for provable data possession (PDP) that allows a client that has stored data at an untrusted server to verify that the server possesses the original data without retrieving it. The model generates probabilistic proofs of possession by sampling random sets of blocks from the server, which drastically reduces I/O costs. The client maintains a constant amount of metadata to verify the proof. The challenge/response protocol transmits a small, constant amount of data, which minimizes network communication. Thus, the PDP model for remote data checking supports large data sets in widely-distributed storage system.

We present two provably-secure PDP schemes that are more efficient than previous solutions, even when compared with schemes that achieve weaker guarantees. In particular, the overhead at the server is low (or even constant), as opposed to linear in the size of the data. Experiments using our implementation verify the practicality of PDP and reveal that the performance of PDP is bounded by disk I/O and not by cryptographic computation.

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Index Terms

Provable data possession at untrusted stores

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cover image ACM Conferences

CCS '07: Proceedings of the 14th ACM conference on Computer and communications security

October 2007

628 pages

ISBN:9781595937032

DOI:10.1145/1315245

General Chair:
Peng Ning
NC State University, USA
,
Program Chairs:
Sabrina De Capitani di Vimercati
University of Milan, Italy
,
Paul Syverson
Naval Research Laboratory, USA

Copyright © 2007 ACM.

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Published: 28 October 2007

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November 2 - October 31, 2007

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CCS '07 Paper Acceptance Rate 55 of 302 submissions, 18%;

Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

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