Bucket Hashing and its Application to Fast Message Authentication
CRYPTO '95 Proceedings of the 15th Annual International Cryptology Conference on Advances in Cryptology
On Fast and Provably Secure Message Authentication Based on Universal Hashing
CRYPTO '96 Proceedings of the 16th Annual International Cryptology Conference on Advances in Cryptology
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
Scalable and efficient provable data possession
Proceedings of the 4th international conference on Security and privacy in communication netowrks
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
Making Peer-Assisted Content Distribution Robust to Collusion Using Bandwidth Puzzles
ICISS '09 Proceedings of the 5th International Conference on Information Systems Security
Network coding for distributed storage systems
IEEE Transactions on Information Theory
Remote data checking for network coding-based distributed storage systems
Proceedings of the 2010 ACM workshop on Cloud computing security workshop
Fair and dynamic proofs of retrievability
Proceedings of the first ACM conference on Data and application security and privacy
Remote data checking using provable data possession
ACM Transactions on Information and System Security (TISSEC)
Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing
IEEE Transactions on Parallel and Distributed Systems
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
High availability in DHTs: erasure coding vs. replication
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
A position paper on data sovereignty: the importance of geolocating data in the cloud
HotCloud'11 Proceedings of the 3rd USENIX conference on Hot topics in cloud computing
Robust Dynamic Provable Data Possession
ICDCSW '12 Proceedings of the 2012 32nd International Conference on Distributed Computing Systems Workshops
Proceedings of the 2012 ACM Workshop on Cloud computing security workshop
Robust dynamic remote data checking for public clouds
Proceedings of the 2012 ACM conference on Computer and communications security
Iris: a scalable cloud file system with efficient integrity checks
Proceedings of the 28th Annual Computer Security Applications Conference
| Hi-index | 0.00 |
Distributed storage systems store data redundantly at multiple servers which are geographically spread throughout the world. This basic approach would be sufficient in handling server failure due to natural faults, because when one server fails, data from healthy servers can be used to restore the desired redundancy level. However, in a setting where servers are untrusted and can behave maliciously, data redundancy must be used in tandem with Remote Data Checking (RDC) to ensure that the redundancy level of the storage systems is maintained over time. All previous RDC schemes for distributed systems impose a heavy burden on the data owner (client) during data maintenance: To repair data at a faulty server, the data owner needs to first download a large amount of data, re-generate the data to be stored at a new server, and then upload this data at a new healthy server. We propose RDC -- SR, a novel RDC scheme for replication-based distributed storage systems. RDC -- SR enables Server-side Repair (thus taking advantage of the premium connections available between a CSP's data centers) and places a minimal load on the data owner who only has to act as a repair coordinator. The main insight behind RDC -- SR is that the replicas are differentiated based on a controllable amount of masking, which offers RDC -- SR flexibility in handling different adversarial strengths. Also, replica generation must be time consuming in order to avoid certain colluding attacks from malicious servers. Our prototype for RDC -- SR built on Amazon AWS validates the practicality of this new approach.