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Open AccessDOI

Provable Data Possession (PDP) and Proofs of Retrievability (POR) of Current Big User Data

TLDR
In this article, two schemas/algorithms that allow users to check the integrity and availability of their outsourced data on untrusted data stores (i.e., third-party data storages) are reviewed.
Abstract
A growing trend over the last few years is storage outsourcing, where the concept of third-party data warehousing has become more popular. This trend prompts several interesting privacy and security issues. One of the biggest concerns with third-party data storage providers is accountability. This article, critically reviews two schemas/algorithms that allow users to check the integrity and availability of their outsourced data on untrusted data stores (i.e., third-party data storages). The reviewed schemas are provable data possession (PDP) and proofs of retrievability (POR). Both are cryptographic protocols designed to provide clients the assurance that their data are secure on the untrusted data storages. Furthermore, a conceptual framework is proposed to mitigate the weaknesses of the current storage solutions.

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Posted Content

Demonstrating data possession and uncheatable data transfer.

TL;DR: A protocol based on a certain RSA-based secure hash function is described, which prevents ‘cheating’ in a data transfer transaction, while placing little burden on the trusted third party that oversees the protocol.
Proceedings ArticleDOI

Practical dynamic proofs of retrievability

TL;DR: This work proposes a dynamic PoR scheme with constant client storage whose bandwidth cost is comparable to a Merkle hash tree, thus being very practical and shows how to make the scheme publicly verifiable, providing the first dynamic Po R scheme with such a property.
Journal ArticleDOI

Provable Multicopy Dynamic Data Possession in Cloud Computing Systems

TL;DR: A map-based provable multicopy dynamic data possession (MB-PMDDP) scheme that has the following features: it provides an evidence to the customers that the CSP is not cheating by storing fewer copies, and it supports outsourcing of dynamic data, i.e., it supports block-level operations.
Proceedings ArticleDOI

Robust remote data checking

TL;DR: This work distill the key performance and security requirements for integrating forward error-correcting codes into PDP and describes an encoding scheme and file organization for robust data possession that meets these requirements.
Book ChapterDOI

Transparent, distributed, and replicated dynamic provable data possession

TL;DR: This work proposes a distributed and replicated DPDP which is transparent from the client's viewpoint, and uses persistent rank-based authenticated skip lists to create centralized and distributed variants of a dynamic version control system with optimal complexity.