Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing
Cong Wang,Qian Wang,Kui Ren,Wenjing Lou +3 more
- pp 525-533
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.read more
Citations
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Journal ArticleDOI
Secure Data Access and Sharing Scheme for Cloud Storage
TL;DR: A secure data access and data sharing scheme for cloud storage, where the user authentication scheme is utilized to deal with the data access problem and the confidentiality and integrity of data is guaranteed.
Journal ArticleDOI
Efficient privacy-preserving third-party auditing for ambient intelligence systems
TL;DR: This paper proposes a novel simple MAC based third-party auditing scheme, which is much more efficient than current public key based schemes, while still fulfills the above two security requirements, and is feasible to be deployed in ambient intelligence systems.
Proceedings ArticleDOI
A Systematic Review of the Security in Cloud Computing: Data Integrity, Confidentiality and Availability
Rajeev Kumar,M P S Bhatia +1 more
TL;DR: The paper involves in analyzing the state-of-art method of cloud storage security to investigate the advantages and limitations and possible future scope of the method is discussed.
Book ChapterDOI
Data Storage Security Model for Cloud Computing
TL;DR: This paper proposes a Data Storage Security Model to achieve storage correctness incorporating Cloud’s dynamic nature while maintaining low computation and communication cost.
Journal ArticleDOI
SVD-based image compression, encryption, and identity authentication algorithm on cloud
TL;DR: The authors proposed a novel authentication value calculation algorithm, which can calculate the authentication value according to related data and has the perfect authentication performance, so as in the scenarios if the image is cropped or added noisy.
References
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Posted Content
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