Pors: proofs of retrievability for large files
Proceedings of the 14th ACM conference on Computer and communications security
Provable data possession at untrusted stores
Proceedings of the 14th ACM conference on Computer and communications security
Integrity auditing of outsourced data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Dual encryption for query integrity assurance
Proceedings of the 17th ACM conference on Information and knowledge management
HAIL: a high-availability and integrity layer for cloud storage
Proceedings of the 16th ACM conference on Computer and communications security
Data Privacy Preserving Mechanism Based on Tenant Customization for SaaS
MINES '09 Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01
Enabling public verifiability and data dynamics for storage security in cloud computing
ESORICS'09 Proceedings of the 14th European conference on Research in computer security
An integrity verification scheme for multiple replicas in clouds
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
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Recently, the Software-as-a-Service (SaaS) model has been gaining more and more attention. In SaaS model, both applications and databases will be deployed in servers managed by untrustworthy service providers. Thus, the service providers might maliciously delete, modify or falsify tenants' data due to some reasons, which brings great challenge to adoption of SaaS model. So this paper defines data integrity concept for SaaS data storage security, which could be measured in terms of durable integrity, correct integrity and provenance integrity. Basing on the meta-data driven data storage model and data chunking technology, SaaS data integrity issues will be mapped as a series of integrity issues of data chunks. Via cyclic group, data chunks traversal approach for verification is presented, and then SaaS data integrity verification can be realized based on the integrity verification of data chunks. Also, we demonstrate the correctness of the mechanism through analysis in this paper.