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Open AccessProceedings ArticleDOI

Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing

TLDR
This paper utilize and uniquely combine the public key based homomorphic authenticator with random masking to achieve the privacy-preserving public cloud data auditing system, which meets all above requirements.
Abstract
Cloud Computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the possibly large size of outsourced data makes the data integrity protection in Cloud Computing a very challenging and potentially formidable task, especially for users with constrained computing resources and capabilities. Thus, enabling public auditability for cloud data storage security is of critical importance so that users can resort to an external audit party to check the integrity of outsourced data when needed. To securely introduce an effective third party auditor (TPA), the following two fundamental requirements have to be met: 1) TPA should be able to efficiently audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user; 2) The third party auditing process should bring in no new vulnerabilities towards user data privacy. In this paper, we utilize and uniquely combine the public key based homomorphic authenticator with random masking to achieve the privacy-preserving public cloud data auditing system, which meets all above requirements. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis shows the proposed schemes are provably secure and highly efficient.

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Citations
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Journal ArticleDOI

A Flexible Authentication Scheme with Supporting Multiple Granularity of Data Integrity

TL;DR: To extend the flexibility of data integrity verification method, Adapted to the different verification environment, proposed an improved solution that can support multi-granularity that is effective and has a better practicability.
Journal Article

Preserving Shared Data Integrity with Public Auditing Mechanism In Cloud

TL;DR: In the current information technology scenario cloud storage is one of the best database platforms which provide the high security to stored data, and also decrease the burden of local data storage and maintenance.

Data Possession Of Multiple Replicas Across The Distributed Storage System By Third Party Auditor

A. Sasidhar, +1 more
TL;DR: A secure cloud storage system supporting privacy-preserving public auditing and the result is extended to enable the TPA to execute audits for multiple users simultaneously and efficiently.

Decidedly long-lasting, decentralized cargo space not withstanding gigantic allied failures

S Vasu, +1 more
TL;DR: Proposed proxy re-encryption scheme for decentralizes erasure code for defending the distributed system supports encoding operations over encrypted messages as well as forwarding operations over encoded and encrypted messages.

Privacy-Preserving Public Auditing for Confidential Cloud Storage

TL;DR: A secure cloud storage system supporting privacy-preserving public auditing and the result to enable the TPA to perform audits for multiple users concurrently and efficiently is proposed.
References
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Journal Article

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TL;DR: This work focuses on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SAAS Users, and uses the term Private Cloud to refer to internal datacenters of a business or other organization, not made available to the general public.
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Posted Content

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Journal ArticleDOI

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