Searchable symmetric encryption: Optimal locality in linear space via two-dimensional balanced allocations

Gilad Asharov, Moni Naor, Gil Segev, Ido Shahaf

Research output: Contribution to journalArticlepeer-review


Searchable symmetric encryption (SSE) enables a client to store a database on an untrusted server while supporting keyword search in a secure manner. Despite the rapidly increasing interest in SSE technology, experiments indicate that the performance of the known schemes scales badly to large databases. Somewhat surprisingly, this is not due to their usage of cryptographic tools, but rather due to their poor locality (where locality is defined as the number of noncontiguous memory locations the server accesses with each query). The only known schemes that do not suffer from poor locality suffer either from an impractical space overhead or from an impractical read efficiency (where read efficiency is defined as the ratio between the number of bits the server reads with each query and the actual size of the answer). We construct the first SSE schemes that simultaneously enjoy optimal locality, optimal space overhead, and nearly optimal read efficiency. Specifically, for a database of size N, under the modest assumption that no keyword appears in more than N1−1/log log N documents, we construct a scheme with read efficiency Õ(log log N). This essentially matches the lower bound of Cash and Tessaro (EUROCRYPT'14) showing that any SSE scheme must be suboptimal in either its locality, its space overhead, or its read efficiency. In addition, even without making any assumptions on the structure of the database, we construct a scheme with read efficiency Õ(log N). Our schemes are obtained via a two-dimensional generalization of the classic balanced allocations (“balls and bins”) problem that we put forward. We construct nearly optimal two-dimensional balanced allocation schemes, and then combine their algorithmic structure with subtle cryptographic techniques.

Original languageAmerican English
Pages (from-to)1501-1536
Number of pages36
JournalSIAM Journal on Computing
Issue number5
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 Society for Industrial and Applied Mathematics


  • Balanced allocations
  • Locality
  • Searchable symmetric encryption


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