Fork Path: Batching ORAM Requests to Remove Redundant Memory Accesses

Outsourcing data to a third-party cloud provider has become quite common with the increasing use of cloud computing. This brings convenience, as well as the concern for data security and privacy. It is believed that data encryption alone is often not enough to protect users' privacy from the cloud provider. According to previous work, the sequence of storage locations accessed by the client can leak up to 90% of the sensitive information, even with data encrypted. In this context, Oblivious RAM (ORAM) is proposed. ORAM algorithms allow the client to hide its access pattern from the service provider while introducing a lot of extra operations. Among all the prototypes, Path ORAM is one of the most promising designs. However, there are still redundant memory accesses that can be removed without harming the security of traditional ORAM as we observed. We came up with three optimization techniques, including path merging, ORAM request scheduling, and merging aware caching. We also propose a prefetching technique to further decreasing the access overhead. Moreover, we also illustrate the compatibility of Fork Path and some state-of-the-art Path ORAM optimizations. Compared to traditional Path ORAM approaches, our Fork Path ORAM can reduce overall performance overhead and power consumption of memory system by 65% and 44%, while the design overhead is trivial.

Duke Scholars

Author Yiran Chen Electrical and Computer Engineering