Verification of data redundancy in cloud storage

Authors:
Zhan Wang;Kun Sun;Jiwu Jing;Sushil Jajodia
Affiliations:
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China;George Mason University, Fairfax, VA, USA;Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China;George Mason University, Fairfax, VA, USA
Venue:
Proceedings of the 2013 international workshop on Security in cloud computing
Year:
2013

Citing 13
Cited 0

An introduction to disk drive modeling

Computer
Architectural styles and the design of network-based software architectures

Architectural styles and the design of network-based software architectures
The complexity of online memory checking

Journal of the ACM (JACM)
Proofs of Retrievability via Hardness Amplification

TCC '09 Proceedings of the 6th Theory of Cryptography Conference on Theory of Cryptography
Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds

Proceedings of the 16th ACM conference on Computer and communications security
HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis

SP '11 Proceedings of the 2011 IEEE Symposium on Security and Privacy
Windows Azure Storage: a highly available cloud storage service with strong consistency

SOSP '11 Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
Do you know where your cloud files are?

Proceedings of the 3rd ACM workshop on Cloud computing security workshop
How to tell if your cloud files are vulnerable to drive crashes

Proceedings of the 18th ACM conference on Computer and communications security
LoSt: location based storage

Proceedings of the 2012 ACM Workshop on Cloud computing security workshop
Hourglass schemes: how to prove that cloud files are encrypted

Proceedings of the 2012 ACM conference on Computer and communications security
Resource-freeing attacks: improve your cloud performance (at your neighbor's expense)

Proceedings of the 2012 ACM conference on Computer and communications security
New approaches to security and availability for cloud data

Communications of the ACM

Quantified Score

Hi-index	0.00

Visualization

Abstract

Data redundancy is key to preventing data loss and achieving fault-tolerance in cloud storage. Cloud storage provider usually charges users according to the requested level of redundancy. However, a cloud provider may fail to offer the committed level of data redundancy intentionally or accidentally, but the users may not be able to detect such breach until data and economic losses have occurred. In this paper, we propose a scheme to allow users remotely assess the actually deployed data redundancy in the cloud storage without knowing the file layout information. Our layout-free scheme establishes response-time profiles for each different file placements, and uses these profiles to evaluate the level of deployed data redundancy. Our experimental results show the feasibility of our scheme on both an in-house cloud and a public cloud.