Paper 2017/914 Original: eprint.iacr.org/2017/914 ↗
Cache-Oblivious and Data-Oblivious Sorting and Applications
Abstract
Although external-memory sorting has been a classical algorithms abstraction and has been heavily studied in the literature, perhaps somewhat surprisingly, when data-obliviousness is a requirement, even very rudimentary questions remain open. Prior to our work, it is not even known how to construct a comparison-based, external-memory oblivious sorting algorithm that is optimal in IO-cost. We make a significant step forward in our understanding of external-memory, oblivious sorting algorithms. Not only do we construct a comparison-based, external-memory oblivious sorting algorithm that is optimal in IO-cost, our algorithm is also cache-agnostic in that the algorithm need not know the storage hierarchy's internal parameters such as the cache and cache-line sizes. Our result immediately implies a cache-agnostic ORAM construction whose asymptotical IO-cost matches the best known cache-aware scheme. Last but not the least, we propose and adopt a new and stronger security notion for external-memory, oblivious algorithms and argue that this new notion is desirable for resisting possible cache-timing attacks. Thus our work also lays a foundation for the study of oblivious algorithms in the cache-agnostic model.
Metadata
- Available format(s)
PDF
- Category
- Foundations
- Publication info
- Preprint.
- History
- 2017-09-24: last updated
- 2017-09-24: published
- Short URL
- https://ia.cr/2017/914
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2017/914,
author = {T-H. Hubert Chan and Yue Guo and Wei-Kai Lin and Elaine Shi},
title = {Cache-Oblivious and Data-Oblivious Sorting and Applications},
howpublished = {Cryptology {ePrint} Archive, Paper 2017/914},
year = {2017},
url = {https://eprint.iacr.org/2017/914}
}