LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction

Rui Wen, Yu Yu, Xiang Xie, Yang Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

Secure search looks for and retrieves records from a (possibly cloud-hosted) encrypted database while ensuring the confidentiality of the queries. Researchers are paying increasing attention to secure search in recent years due to the growing concerns about database privacy. However, the low efficiency of (especially multiplicative) homomorphic operations in secure search has hindered its deployment in practice. To address this issue, Akavia et al. [CCS 2018, PETS 2019] proposed new protocols that bring down the number of multiplications in the search algorithm from O(n2) to O(n log2 n), and then to O(n log n), where n is the size of the database. In this paper, we present the first secure search protocol - LEAF and its variant LEAF+ - which only requires $O(n)$ multiplications. Specifically, at the core of LEAF are three novel methods we propose, referred to as Localization, Extraction, and Reconstruction. In addition, LEAF enjoys low communication complexity and only requires the client to perform decryption, which adds its advantage in deployment on weak-power devices such as mobile phones.

Original languageEnglish
Title of host publicationCCS 2020 - Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery
Pages1219-1232
Number of pages14
ISBN (Electronic)9781450370899
DOIs
StatePublished - 30 Oct 2020
Externally publishedYes
Event27th ACM SIGSAC Conference on Computer and Communications Security, CCS 2020 - Virtual, Online, United States
Duration: 9 Nov 202013 Nov 2020

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221

Conference

Conference27th ACM SIGSAC Conference on Computer and Communications Security, CCS 2020
Country/TerritoryUnited States
CityVirtual, Online
Period9/11/2013/11/20

Keywords

  • (leveled) fully homomorphic encryption
  • secure search

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