Name
Abstract | ||
|---|---|---|
Outsourcing to the Cloud is becoming an attractive option for many organisations dealing with large amounts of data. However, there is still a reluctance amongst companies dealing with highly regulated data because traditional Cloud storage does not support the level of privacy required to prevent access pattern leakage. Oblivious Random Access Machines (ORAM) have been a hot topic of research over the past number of years, proposing various cryptographic techniques to obtain the privacy levels required. We propose a new model, Dog ORAM - a distributed and shared oblivious RAM model with server side computation, that merges several models existing in the literature and includes a new method of access right management for multi-party data access. To achieve this, we use an additive homomorphic encryption scheme and a chameleon signature. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/UCC.2015.109 | 2015 IEEE/ACM 8TH INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING (UCC) |
Keywords | Field | DocType |
Oblivious RAM, Shared ORAM, Distributed ORAM, Access right management, AHE, Chameleon signature | Oblivious ram,Cryptography,Computer science,Server,Encryption,Data access,Cloud storage,Random access,Cloud computing,Distributed computing | Conference |
ISSN | Citations | PageRank |
2373-6860 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandre Pujol | 1 | 0 | 0.34 |
| Christina Thorpe | 2 | 53 | 9.00 |