Privacy Preserving Dynamic Provable Data Possession with Batch Update for Secure Cloud Storage

With the advent of data outsourcing, how to efficiently verify the integrity of data stored at an untrusted cloud service provider (CSP) has become a significant problem in cloud storage. In 2019, Guo et al. proposed an outsourced dynamic provable data possession scheme with batch update for secure cloud storage. Although their scheme is very novel, we find that their proposal is not secure in this paper. The malicious cloud server has ability to forge the authentication labels, and thus it can forge or delete the user’s data but still provide a correct data possession proof. Based on the original protocol, we proposed an improved one for the auditing scheme, and our new protocol is effective yet resistant to attacks.

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Privacy Preserving Third Party Auditing for Secure Cloud Storage

International Journal of Computer Applications ◽

10.5120/ijca2018917877 ◽

2018 ◽

Vol 181 (18) ◽

pp. 49-53

Author(s):

Swati B. ◽

B. M.

Keyword(s):

Cloud Storage ◽

Privacy Preserving ◽

Third Party ◽

Secure Cloud Storage ◽

Third Party Auditing

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Identity-based Provable Data Possession from RSA Assumption for Secure Cloud Storage

IEEE Transactions on Dependable and Secure Computing ◽

10.1109/tdsc.2020.3036641 ◽

2020 ◽

pp. 1-1

Author(s):

Jianbing Ni ◽

Kuan Zhang ◽

Yong Yu ◽

Tingting Yang

Keyword(s):

Cloud Storage ◽

Provable Data Possession ◽

Secure Cloud Storage ◽

Identity Based

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Privacy-Preserving Public Auditing and Data Dynamics for Secure Cloud Storage Based on Exact Regenerated Code

International Journal of Cloud Applications and Computing ◽

10.4018/ijcac.2019100101 ◽

2019 ◽

Vol 9 (4) ◽

pp. 1-20

Author(s):

Syam Kumar Pasupuleti

Keyword(s):

Cloud Storage ◽

Privacy Preserving ◽

Sensitive Data ◽

Public Auditing ◽

Data Dynamics ◽

Secure Cloud Storage ◽

And Performance ◽

Local Storage ◽

Recovery Problem ◽

Provably Secure

Cloud storage allows users to store their data in the cloud to avoid local storage and management costs. Since the cloud is untrusted, the integrity of stored data in the cloud has become an issue. To address this problem, several public auditing schemes have been designed to verify integrity of the data in the cloud. However, these schemes have two drawbacks: public auditing may reveal sensitive data to verifier and does not address the data recovery problem efficiently. This article proposes a new privacy-preserving public auditing scheme with data dynamics to secure the data in the cloud based on an exact regenerated code. This scheme encodes the data for availability, then masks the encoded blocks with randomness for privacy of data and enables a public auditor to verify the integrity of the data. Further, this scheme also supports dynamic data updates. In addition, security and performance analysis proves that proposed scheme is provably secure and efficient.

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Privacy-Preserving Public Auditing and Data Dynamics for Secure Cloud Storage Based on Exact Regenerated Code

Research Anthology on Privatizing and Securing Data ◽

10.4018/978-1-7998-8954-0.ch046 ◽

2021 ◽

pp. 1003-1022

Author(s):

Syam Kumar Pasupuleti

Keyword(s):

Cloud Storage ◽

Privacy Preserving ◽

Sensitive Data ◽

Dynamic Data ◽

Public Auditing ◽

Data Dynamics ◽

Secure Cloud Storage ◽

And Performance ◽

Local Storage ◽

Recovery Problem

Cloud storage allows users to store their data in the cloud to avoid local storage and management costs. Since the cloud is untrusted, the integrity of stored data in the cloud has become an issue. To address this problem, several public auditing schemes have been designed to verify integrity of the data in the cloud. However, these schemes have two drawbacks: public auditing may reveal sensitive data to verifier and does not address the data recovery problem efficiently. This article proposes a new privacy-preserving public auditing scheme with data dynamics to secure the data in the cloud based on an exact regenerated code. This scheme encodes the data for availability, then masks the encoded blocks with randomness for privacy of data and enables a public auditor to verify the integrity of the data. Further, this scheme also supports dynamic data updates. In addition, security and performance analysis proves that proposed scheme is provably secure and efficient.

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