When the hammer meets the nail: Multi-server PIR for database-driven CRN with location privacy assurance

Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui

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

10 Citations (Scopus)

Abstract

We show that it is possible to achieve information theoretic location privacy for secondary users (SUs) in database-driven cognitive radio networks (CRNs) with an end-to-end delay less than a second, which is significantly better than that of the existing alternatives offering only a computational privacy. This is achieved based on a keen observation that, by the requirement of Federal Communications Commission (FCC), all certified spectrum databases synchronize their records. Hence, the same copy of spectrum database is available through multiple (distinct) providers. We harness the synergy between multi-server private information retrieval (PIR) and database-driven CRN architecture to offer an optimal level of privacy with high efficiency by exploiting this observation. We demonstrated, analytically and experimentally with deployments on actual cloud systems that, our adaptations of multi-server PIR outperform that of the (currently) fastest single-server PIR by a magnitude of times with information theoretic security, collusion resiliency and fault-tolerance features. Our analysis indicates that multiserver PIR is an ideal cryptographic tool to provide location privacy in database-driven CRNs, in which the requirement of replicated databases is a natural part of the system architecture, and therefore SUs can enjoy all advantages of multi-server PIR without any additional architectural and deployment costs.

Original languageEnglish
Title of host publication2017 IEEE Conference on Communications and Network Security, CNS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9781538606834
DOIs
Publication statusPublished - 19 Dec 2017
Externally publishedYes
Event2017 IEEE Conference on Communications and Network Security, CNS 2017 - Las Vegas, United States
Duration: 9 Oct 201711 Oct 2017

Publication series

Name2017 IEEE Conference on Communications and Network Security, CNS 2017
Volume2017-January

Conference

Conference2017 IEEE Conference on Communications and Network Security, CNS 2017
Country/TerritoryUnited States
CityLas Vegas
Period9/10/1711/10/17

Keywords

  • Database-driven cognitive radio networks
  • dynamic spectrum access
  • location privacy
  • private information retrieval

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