SecCloud: Bridging Secure Storage and Computation in Cloud

Cloud computing becomes a hot research topic in the recent years. In the cloud computing, software applications and databases are moved to the centralized large data centers, which is called cloud. In the cloud, due to lack of physical possession of the data and the machine, the data and computation...

Full description

Saved in:
Bibliographic Details
Published in2010 IEEE 30th International Conference on Distributed Computing Systems Workshops pp. 52 - 61
Main Authors Lifei Wei, Haojin Zhu, Zhenfu Cao, Weiwei Jia, Vasilakos, A V
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Batch verification
Cloud computing
Clouds
Computational modeling
Data storage secure
Designated verification
Privacy
Privacy preserving
Secure storage
Security
Servers
Online AccessGet full text

Cover

More Information
Summary:Cloud computing becomes a hot research topic in the recent years. In the cloud computing, software applications and databases are moved to the centralized large data centers, which is called cloud. In the cloud, due to lack of physical possession of the data and the machine, the data and computation may not be well managed and fully trusted by cloud users. Existing work on cloud security mainly focuses on cloud storage without taking computation security into consideration. In this paper, we propose SecCloud, a novel auditing scheme to secure cloud computing based on probabilistic sampling technique as well as designated verifier technique, which aims to consider secure data storage, computation and privacy preserving together. We also discuss how to optimize sampling size to minimize the auditing cost. Detailed analysis and simulations have demonstrated the effectiveness and efficiency of the proposed scheme.
ISBN:9781424474714
142447471X
ISSN:1545-0678
DOI:10.1109/ICDCSW.2010.36