Privacy Preserving Third Party Auditing for Secure Cloud Storage

Cloud Computing (CC) provides an easy way to access and store the information by vast remote servers, instead of using personal computer. There is no physical control over personal data by user, hence some security issues may arise for users and organization to secure the data in cloud. The sensitive data can be hacked by attackers, so the integrity of data stored in cloud is a major concern for users. In this research work, the data integrity can be ensured by using Third Party Storage Auditing Service (TPSAS), where it satisfies all the requirements of users in cloud. The ultimate aim of this research is to avoid the unauthorized access of user’s data stored in the cloud. In this paper, two major problems are considered for attaining the integrity of data in the cloud. The first one is, the unauthorized user tries to modify the data, which is solved by the proposed TPSAS. The second problem considered in this research is, since the Cloud Service Provider (CSP) is semi trustable it can be malfunctioned at any time, which can be solved based on the secure secret key sharing algorithm and proxy re-encryption methodology. The secure secret key sharing is implemented based on the Shamir key sharing algorithm and the proxy re-encryption process is implemented based on the bear and lion proxy re-encryption methodology.

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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.

Download Full-text