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
A hill cipher-based remote data possession checking in cloud storage
TL;DR: This paper proposes a Hill cipher-based remote data possession checking scheme that performs data possessionchecking at the same time it provides confidentiality of data and the security and performance analysis illustrates that the scheme is feasible and effective.
Proceedings ArticleDOI
A Novel Privacy Preserving HMAC Algorithm Based on Homomorphic Encryption and Auditing for Cloud
TL;DR: The proposed solution uses the RSA algorithm and the AES algorithm to encrypt user data and hybridization of these two algorithms allows better data protection before it is stored in the cloud.
Journal ArticleDOI
A universal method for realizing non-repudiable provable data possession in cloud storage
TL;DR: This work proposes a concrete NRPDP scheme with private verification, which allows both the client and the server to prove their innocence and verify whether the other side is honest, and proves the security of both the method andNRPDP in the random oracle model and implement a prototype based on the NR PDP scheme in a realistic cloud platform.
Privacy-Preserving Public Auditing for Secure Cloud Storage
TL;DR: A secure cloud storage system supporting privacy-preserving public auditing is proposed and the result is extended to enable the TPA to perform audits for multiple users simultaneously and efficiently.
Group Provable Data Possession with Deduplication in Cloud Storage
TL;DR: GPDP can efficiently guarantee data possession with deduplication, as well as defend against selective opening attacks of a malicious party, and GPDP reduces the extra storage and communication cost to a minimum than the other PDP/POR schemes applied in a group.
References
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Posted Content
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