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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

Factors Influencing Cloud Computing Adoption in Saudi Arabia’s Private and Public Organizations: A Qualitative Evaluation

TL;DR: This study explores factors that encourage the implementation of cloud or have the capacity to detract from adopting cloud computing in private and public organizations in Saudi Arabia.

Active data-centric framework for data protection in cloud environment

TL;DR: This work proposes a novel active data-centric framework which packages the raw data with active properties that enforce data usage with active defending and protection capability and employs the zero-knowledge proof scheme to verify the request’s identification without revealing any vital information.
Journal ArticleDOI

Cloud data auditing with designated verifier

TL;DR: Through rigorous security analysis, it was showed that the proposed designated verifier auditing (DVA) scheme is provably secure in the random oraclemodel assuming that the computational Diffie-Hellman (CDH) problem is hard over the group of bilinear maps.
Proceedings ArticleDOI

Towards Scalable, Fine-Grained, Intrusion-Tolerant Data Protection Models for Healthcare Cloud

TL;DR: A robust data protection framework which is surrounded by a chain of protection schemes from access control, monitoring, to active auditing, to bring benefits of cloud computing to healthcare industries to assist them improve quality of service and reduce the cost of overall healthcare.
Journal ArticleDOI

Certificateless Public Verification for Data Storage and Sharing in the Cloud

TL;DR: Wang et al. as mentioned in this paper utilized elliptic curve group to propose a certificateless signature to solve the security risks of the traditional PKI and the certificate management is complex. But, there are many security risks.
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