Towards a Pragmatic ORAM Implementation Using Caching and Prefetching

Oblivious RAM (ORAM) enhances secure data storage by obscuring memory access patterns, which is essential for many secure applications. However, the expenses related to existing ORAM techniques are often excessively high for practical application. This occurs because obtaining a single data block necessitates retrieving many redundant blocks during server communication. While many optimizations concentrate on data locality and access patterns, there has been inadequate attention to caching and prefetching. Our previous research indicated that caching significantly reduces ORAM latency. We provide the architecture of an ORAM implementation that integrates caching and prefetching techniques for practical use.

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Published
2024-11-13
DOI
https://doi.org/10.1109/prdc63035.2024.00043
Primary Topic
Natural Language Processing Techniques
Type
article
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article

Towards a Pragmatic ORAM Implementation Using Caching and Prefetching

Naohiro Hayashibara, Kazuaki Kawabata
Natural Language Processing Techniques
article

Towards a Pragmatic ORAM Implementation Using Caching and Prefetching

Naohiro Hayashibara, Kazuaki Kawabata
article en

Abstract

Oblivious RAM (ORAM) enhances secure data storage by obscuring memory access patterns, which is essential for many secure applications. However, the expenses related to existing ORAM techniques are often excessively high for practical application. This occurs because obtaining a single data block necessitates retrieving many redundant blocks during server communication. While many optimizations concentrate on data locality and access patterns, there has been inadequate attention to caching and prefetching. Our previous research indicated that caching significantly reduces ORAM latency. We provide the architecture of an ORAM implementation that integrates caching and prefetching techniques for practical use.

Kyoto Sangyo University (JP)
Openalex Percentile: Top 76%
Natural Language Processing Techniques
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