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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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References
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Journal ArticleDOI

DeyPoS: Deduplicatable Dynamic Proof of Storage for Multi-User Environments

TL;DR: The concept of deduplicatable dynamic proof of storage is introduced and an efficient construction called DeyPoS is proposed, to achieve dynamic PoS and secure cross-user dedUplication, simultaneously, simultaneously.
Journal ArticleDOI

A position-aware Merkle tree for dynamic cloud data integrity verification

TL;DR: This paper proposes a publicly verifiable scheme to protect the integrity of cloud data and support dynamic maintenance, which is based on a position-aware Merkle tree and supports unlimited verification challenges.
Book ChapterDOI

Non-skipping timestamps for byzantine data storage systems

TL;DR: The problem of implementing a replicated data store with atomic semantics for non self-verifying data in a system of n servers that are subject to Byzantine failures is studied and an implementation for non-skipping timestamps is provided, which are guaranteed not to skip any value.
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A Survey of Public Auditing for Secure Data Storage in Cloud Computing

TL;DR: This paper surveys the previous researches of data integrity based on public auditability which includes collecting the basic requirements and evaluation metrics, providing the representative with approaches to analyze security and efficiency, and proposes some future developments.
Journal ArticleDOI

Dynamic Proofs of Retrievability for Coded Cloud Storage Systems

TL;DR: This paper proposes a dynamic proof of retrievability scheme supporting public auditability and communication-efficient recovery from data corruptions, utilizing rb23Tree to enforce the data sequence for dynamic operations, and shows that the proposed scheme is practical for use in cloud storage systems.
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