Paper Info
Title
Regenerating-Codes-Based Efficient Remote Data Checking and Repairing in Cloud Storage
Abstract
The dramatic development of cloud storage services has led growing companies and individuals to outsource their data to cloud. However, users still concern about the availability and integrity of the data stored in cloud. To relieve these concerns, data redundancy is introduced into cloud storage systems, and data integrity verification schemes are used to check whether data is corrupted. Once data corruption is detected, the repair operations should be executed. However, most of the existing schemes based on erasure codes or network coding techniques either introduce high computation cost or cannot efficiently support remote data repairing. In this paper, we propose an efficient Remote Data Checking and Repairing (RDCR) scheme based on the minimum bandwidth regenerating codes. Our scheme reduces data owners' burden of checking data integrity by enabling a third party to perform the public integrity verification. In addition, unlike previous schemes, our scheme supports exact repair of corrupted data so that the computation cost is further reduced. We implement our scheme and the experiment results show that, compared with the existing schemes, RDCR has lower computational overhead and communication cost.
Year
DOI
Venue
2015
10.1109/Trustcom.2015.368
TrustCom/BigDataSE/ISPA
Keywords
Field
DocType
Cloud storage, regenerating codes, data availability, data integrity
Linear network coding,Overhead (computing),Computer science,Computer security,Computer network,Data integrity,Data redundancy,Data Corruption,Erasure code,Cloud storage,Distributed computing,Cloud computing
Conference
Volume
Citations 
PageRank 
1
0
0.34
References 
Authors
26
5
Name
Order
Citations
PageRank
Jing Chen131.38
Yuling Peng200.34
Ruiying Du3495.29
Quan Yuan424711.59
Minghui Zheng551.78