Optimizing Cauchy Reed-Solomon Codes for Fault-Tolerant Network Storage Applications
NCA '06 Proceedings of the Fifth IEEE International Symposium on Network Computing and Applications
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
MR-PDP: Multiple-Replica Provable Data Possession
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Proceedings of the 4th ACM international workshop on Storage security and survivability
Compact Proofs of Retrievability
ASIACRYPT '08 Proceedings of the 14th International Conference on the Theory and Application of Cryptology and Information Security: Advances in Cryptology
HAIL: a high-availability and integrity layer for cloud storage
Proceedings of the 16th ACM conference on Computer and communications security
Dynamic provable data possession
Proceedings of the 16th ACM conference on Computer and communications security
Remote data checking for network coding-based distributed storage systems
Proceedings of the 2010 ACM workshop on Cloud computing security workshop
Remote data checking using provable data possession
ACM Transactions on Information and System Security (TISSEC)
Robust Dynamic Provable Data Possession
ICDCSW '12 Proceedings of the 2012 32nd International Conference on Distributed Computing Systems Workshops
Towards self-repairing replication-based storage systems using untrusted clouds
Proceedings of the third ACM conference on Data and application security and privacy
| Hi-index | 0.00 |
Remote Data Checking (RDC) allows clients to efficiently check the integrity of data stored at untrusted servers. This allows data owners to assess the risk of outsourcing data in the public cloud, making RDC a valuable tool for data auditing. Early RDC schemes have focused on static data, whereas later schemes such as DPDP support the full range of dynamic operations on the outsourced data, including insertions, modifications, and deletions. Robustness is required for both static and dynamic RDC schemes that rely on spot checking for efficiency. In this paper, we propose the first RDC schemes that provide robustness and, at the same time, support dynamic updates, while requiring small, constant, client storage.