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A Formal Information-Theoretic Leakage Analysis of Order-Revealing Encryption

  • Florida International University

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

Abstract

Order-Revealing Encryption (ORE) allows deriving the order of two plaintexts to facilitate database functions such as range queries and sorting. Ideally, nothing is observable to an adversary beyond the order of the messages. Unfortunately, Ideal ORE is challenging to implement, and a variation of it has then been developed. This variation, referred to as CLWW ORE, reveals the first differing bit position between every two plaintexts, in addition to the order. We provide a formal leakage analysis of these two ORE variations by applying the information-theoretic quantitative information flow (QIF) framework. We evaluate two threat models: (1) the Bayes scenario in which an adversary wishes to guess the secret entirely and (2) a bucketing scenario in which an adversary is content to simply guess the range of the plaintext. We provide security implications, usage guidelines, and a mitigation technique that improves the security of Ideal ORE. We find that while Ideal and CLWW ORE perform similarly under the Bayes scenario, CLWW ORE is fundamentally insecure under the bucketing scenario.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 34th Computer Security Foundations Symposium, CSF 2021
PublisherIEEE Computer Society
ISBN (Electronic)9781728176079
DOIs
Publication statusPublished - 1 Jan 2021
Event34th IEEE Computer Security Foundations Symposium, CSF 2021 - Virtual, Online, Croatia
Duration: 21 Jun 202125 Jun 2021

Publication series

NameProceedings - IEEE Computer Security Foundations Symposium
Volume2021-June
ISSN (Print)1940-1434

Conference

Conference34th IEEE Computer Security Foundations Symposium, CSF 2021
Country/TerritoryCroatia
CityVirtual, Online
Period21/06/2125/06/21

Keywords

  • Cloud Computing Security
  • Formal Security Models
  • Order-Revealing Encryption
  • Quantitative Information Flow

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