Privacy preserving public auditing for regenerating code based cloud storage

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PRIVACY-PRESERVING PUBLIC AUDITING FOR
REGENERATING-CODE-BASED CLOUD STORAGE
Abstract:
To protect outsourced data in cloud storage against corruptions, adding fault tolerance to
cloud storage together with data integrity checking and failure reparation becomes critical.
Recently, regenerating codes have gained popularity due to their lower repair bandwidth while
providing fault tolerance. Existing remote checking methods for regenerating-coded data only
provide private auditing, requiring data owners to always stay online and handle auditing, as well
as repairing, which is sometimes impractical.
Propose a public auditing scheme for the regenerating-code-based cloud storage. To solve
the regeneration problem of failed authenticators in the absence of data owners, we introduce a
proxy, which is privileged to regenerate the authenticators, into the traditional public auditing
system model. Moreover, design a novel public verifiable authenticator, which is generated by a
couple of keys and can be regenerated using partial keys. Thus, our scheme can completely
release data owners from online burden. In addition, we randomize the encode coefficients with a
pseudorandom function to preserve data privacy.

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Introduction:
Cloud storage is now gaining popularity because it offers a flexible on-demand data
outsourcing service with appealing benefits: relief of the burden for storage management,
universal data access with location independence, and avoidance of capital expenditure on
hardware, software, and personal maintenances, etc., Nevertheless, this new paradigm of data
hosting service also brings new security threats toward users data, thus making individuals or
enterprisers still feel hesitant. It is noted that data owners lose ultimate control over the fate of
their outsourced data; thus, the correctness, availability and integrity of the data are being put at
risk. The cloud service providers may act dishonestly, attempting to hide data loss or corruption
and claiming that the files are still correctly stored in the cloud for reputation or monetary
reasons. Thus it makes great sense for users to implement an efficient protocol to perform
periodical verifications of their outsourced data to ensure that the cloud indeed maintains their
data correctly.

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Existing System:
Many mechanisms dealing with the integrity of outsourced data without a local copy
have been proposed under different system and security models up to now. The most significant
work among these studies are the PDP (provable data possession) model and POR (proof of
retrievability) model, which were originally proposed for the single-server scenario by Ateniese
et al. and Juels and Kaliski, respectively. Considering that files are usually striped and
redundantly stored across multi-servers or multi-clouds, explore integrity verification schemes
suitable for such multi-servers or multi-clouds setting with different redundancy schemes, such
as replication, erasure codes, and, more recently, regenerating codes.
Disadvantages:
 Users may not want to go through the complexity in verifying and reparation.
 The overhead of using cloud storage should be minimized as much as possible such that a
user does not need to perform too many operations to their outsourced data.
 The auditing schemes imply the problem that users need to always stay online, which
may impede its adoption in practice, especially for long-term archival storage.

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Proposed System:
Our System introduced private remote data checking schemes for regenerating code-
based cloud storage; there are still some other challenges for us to design a public auditable
version.
A direct extension of the techniques can realize public verifiability in the multi-servers
setting by viewing each block as a set of segments and performing spot checking on them, such a
straightforward method makes the data owner generate tags for all segments independently, thus
resulting in Less computational overhead.
Considering that a data owner commonly maintains limited computation and memory
capacity, it is quite significant for us to reduce those overheads. Second, unlike cloud storage
based on traditional erasure code or replication, a fixed file layout does not exist in the
regenerating-code-based cloud storage. During the repair phase, it computes out new blocks,
which are totally different from the faulty ones, with high probability.

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Advantages:
 System utilizing the linear subspace of the regenerating codes, the authenticators can be
computed efficiently.
 To allow privacy-preserving public auditing for regenerating code- based cloud storage.
 Our scheme completely releases data owners from online burden for the regeneration of
blocks and authenticators at faulty servers and it provides the privilege to a proxy for the
reparation.
 Entire system is Provable secure under random oracle model against adversaries.

Privacy preserving public auditing for regenerating code based cloud storage

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