Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage

Public auditing scheme for secure cloud storage based on dynamic hash table, which is a new two-dimensional data structure located at a third-party auditor (TPA) to record the data property information for dynamic auditing. Differing form the existing works, the proposed scheme migrates the authorized information from the cloud services provider to the TPA and thereby significantly reduces the computational cost and communication overhead. Our scheme can also achieve higher updating efficiency than the state of the art schemes. In addition, we extend our scheme to support privacy preservation by combining the homomorphic authenticator based on the public key with the random masking generated by the TPA and achieve batch auditing by employing the aggregate BLS signature technique. We formally prove the security of the proposed scheme and evaluate the auditing performance by detailed experiments and comparisons with the existing ones. The results demonstrate that the proposed scheme can effectively achieve secure auditing for cloud storage and outperform the previous schemes’ in computation complexity, storage costs, and communication overhead.

Download Full-text

Cryptanalysis and Countermeasures on Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage

2017 10th International Symposium on Computational Intelligence and Design (ISCID) ◽

10.1109/iscid.2017.26 ◽

2017 ◽

Author(s):

Hong-Shan Luo ◽

Rui Jiang ◽

Bei Pei

Keyword(s):

Cloud Storage ◽

Hash Table ◽

Public Auditing ◽

Secure Cloud Storage

Download Full-text

Privacy Preserving Public Auditing for Secure Cloud Storage

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.34568 ◽

2021 ◽

Vol 9 (5) ◽

pp. 1898-1904

Author(s):

Revti R. Adel

Keyword(s):

Cloud Storage ◽

Privacy Preserving ◽

Public Auditing ◽

Secure Cloud Storage

Download Full-text

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.

Download Full-text

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.

Download Full-text