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PORs: Proofs of Retrievability for Large Files

Ari Juels, +1 more
- 01 Jan 2007 - 
- Vol. 2007, pp 243
TLDR
This paper defines and explores proofs of retrievability (PORs), a POR scheme that enables an archive or back-up service to produce a concise proof that a user can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.
Abstract
In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.A POR may be viewed as a kind of cryptographic proof of knowledge (POK), but one specially designed to handle a large file (or bitstring) F. We explore POR protocols here in which the communication costs, number of memory accesses for the prover, and storage requirements of the user (verifier) are small parameters essentially independent of the length of F. In addition to proposing new, practical POR constructions, we explore implementation considerations and optimizations that bear on previously explored, related schemes.In a POR, unlike a POK, neither the prover nor the verifier need actually have knowledge of F. PORs give rise to a new and unusual security definition whose formulation is another contribution of our work.We view PORs as an important tool for semi-trusted online archives. Existing cryptographic techniques help users ensure the privacy and integrity of files they retrieve. It is also natural, however, for users to want to verify that archives do not delete or modify files prior to retrieval. The goal of a POR is to accomplish these checks without users having to download the files themselves. A POR can also provide quality-of-service guarantees, i.e., show that a file is retrievable within a certain time bound.

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Citations
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Investigation of Optimal Data Encoding Parameters Based on User Preference for Cloud Storage

Vikas Chouhan, +1 more
- 01 Jan 2020 - 
TL;DR: This paper presents the analysis of the Reed-Solomon coding scheme from the perspective of storage overhead, the probability of data availability, data recoverability, and storage efficiency to identify the optimal values of encoding parameters, and performs the experiments.
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Efficient dynamic replicated data possession checking in distributed cloud storage systems

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References
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TL;DR: A survey of the different security risks that pose a threat to the cloud is presented and a new model targeting at improving features of an existing model must not risk or threaten other important features of the current model.
Journal ArticleDOI

Efficient dispersal of information for security, load balancing, and fault tolerance

TL;DR: Information Dispersal Algorithm (IDA) has numerous applications to secure and reliable storage of information in computer networks and even on single disks, to fault-tolerant and efficient transmission ofInformation in networks, and to communications between processors in parallel computers.
Posted Content

Provable Data Possession at Untrusted Stores.

TL;DR: Ateniese et al. as discussed by the authors introduced the provable data possession (PDP) model, which allows a client that has stored data at an untrusted server to verify that the server possesses the original data without retrieving it.
Book ChapterDOI

The knowledge complexity of interactive proof-systems

TL;DR: Permission to copy without fee all or part of this material is granted provided that the copies arc not made or distributed for direct commercial advantage.
Proceedings Article

Raptor codes

TL;DR: For a given integer k, and any real /spl epsiv/>0, Raptor codes in this class produce a potentially infinite stream of symbols such that any subset of symbols of size k(1 + /spl Epsiv/) is sufficient to recover the original k symbols, with high probability as mentioned in this paper.
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