Developing a Science for Statistical ORAMs

Abstract

In this proposal, we aim to develop a scientific foundation for protecting the security/privacy of programs memory access patterns. We note that the lack of progress in low-bandwidth ORAMs, despite considerable efforts from the security community, is an undeniable indicator that we need a fundamentally new approach for the problem. Towards this end, we propose to trade-off reduction in bandwidth at the cost of statistical privacy guarantees (such as differential privacy) in oblivious RAMs. The intersection of differential privacy and oblivious RAMs opens up a new design space for our research community, and has the potential to reduce bandwidth overheads by orders of magnitude, including a constant overhead design point. In this context, we will investigate the following research challenges.

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Document Details

Document Type
Technical Report
Publication Date
Jan 13, 2023
Accession Number
AD1226332

Entities

People

  • Prateek Mittal

Organizations

  • Princeton University

Tags

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Cybersecurity.
  • Life Cycle Cost Analysis
  • Systems Analysis and Design

Technology Areas

  • Space