A Privacy-Preserving protocol for indoor Wi-Fi localization

Samuel N. Eshun, Paolo Palmieri

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

7 Citations (Scopus)

Abstract

Location-aware applications have witnessed massive worldwide growth in recent years due to the introduction and advancement of smartphones. Most of these applications rely on the Global Positioning System (GPS) which is not available in indoor environments. As a result, Wi-Fi fingerprinting is becoming increasingly popular as an alternative as it allows localizing users in indoor environments, has lower power consumption, and is also more economical as it does not require a dedicated sensor other than a Wi-Fi card. The technique allows a service provider (SP) to construct a Wi-Fi database (called radio map) that can be used as a reference point to localize a user. However, this process does not preserve the user privacy, as the location can only be computed interactively with the SP. The service provider may also reveal sensitive information on the indoor space (e.g. the building map) to the user. Thus, we need an indoor localization protocol that addresses the privacy of both parties. In this paper, we present a privacy-preserving cryptographic protocol for indoor Wi-Fi localization, that prevents the SP from learning the exact location of the user outside of certain pre-defined sensitive areas, while keeping the SP's database secure. Thus, both parties cannot learn anything about each other's input beyond the implicit output revealed.

Original languageEnglish
Title of host publicationACM International Conference on Computing Frontiers 2019, CF 2019 - Proceedings
PublisherAssociation for Computing Machinery, Inc
Pages380-385
Number of pages6
ISBN (Electronic)9781450366854
DOIs
Publication statusPublished - 30 Apr 2019
Externally publishedYes
Event16th ACM International Conference on Computing Frontiers, CF 2019 - Alghero, Sardinia
Duration: 30 Apr 20192 May 2019

Publication series

NameACM International Conference on Computing Frontiers 2019, CF 2019 - Proceedings

Conference

Conference16th ACM International Conference on Computing Frontiers, CF 2019
Country/TerritoryItaly
CityAlghero, Sardinia
Period30/04/192/05/19

Keywords

  • Bloom Filter
  • Cryptographic Protocols
  • Location Privacy

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