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| Content Provider | ACM Digital Library |
|---|---|
| Author | Qiao, Daji Zhang, Jinsheng Zhang, Wensheng |
| Abstract | As outsourcing data to remote storage servers gets popular, protecting user's pattern in accessing these data has become a big concern. ORAM constructions are promising solutions to this issue, but their application in practice has been impeded by the high communication and storage overheads incurred. Towards addressing this challenge, this paper proposes a segmentation-based ORAM (S-ORAM). It adopts two segment-based techniques, namely, piece-wise shuffling and segment-based query, to improve the performance of shuffling and query by factoring block size into design. Extensive security analysis proves that S-ORAM is a highly secure solution with a negligible failure probability of O(N-log N). In terms of communication and storage overheads, S-ORAM outperforms the Balanced ORAM (B-ORAM) and the Path ORAM (P-ORAM), which are the state-of-the-art hash and index based ORAMs respectively, in both practical and theoretical evaluations. Particularly under practical settings, the communication overhead of S-ORAM is 12 to 23 times less than B-ORAM when they have the same constant-size user-side storage, and S-ORAM consumes 80% less server-side storage and around 60% to 72% less bandwidth than P-ORAM when they have the similar logarithmic-size user-side storage. |
| Starting Page | 147 |
| Ending Page | 158 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781450328005 |
| DOI | 10.1145/2590296.2590323 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-06-04 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Privacy Access pattern Oblivious ram Data outsourcing |
| Content Type | Text |
| Resource Type | Article |
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