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NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users - 2017

NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users

Research Area:  Big Data

Abstract:

Today, cloud storage becomes one of the critical services, because users can easily modify and share data with others in cloud. However, the integrity of shared cloud data is vulnerable to inevitable hardware faults, software failures or human errors. To ensure the integrity of the shared data, some schemes have been designed to allow public verifiers (i.e., third party auditors) to efficiently audit data integrity without retrieving the entire users’ data from cloud. Unfortunately, public auditing on the integrity of shared data may reveal data owners’ sensitive information to the third party auditor. In this paper, we propose a new privacy-aware public auditing mechanism for shared cloud data by constructing a homomorphic verifiable group signature. Unlike the existing solutions, our scheme requires at least t group managers to recover a trace key cooperatively, which eliminates the abuse of single-authority power and provides nonframeability. Moreover, our scheme ensures that group users can trace data changes through designated binary tree; and can recover the latest correct data block when the current data block is damaged. In addition, the formal security analysis and experimental results indicate that our scheme is provably secure and efficient.

Keywords:  

Author(s) Name:  Anmin Fu,Shui Yu,Yuqing Zhang,Huaqun Wang and Chanying Huang

Journal name:  IEEE Transactions on Big Data

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/TBDATA.2017.2701347

Volume Information:  PrePrints pp. 1-1