Your browser doesn't support javascript.
Perturbed-Location Mechanism for Increased User-Location Privacy in Proximity Detection and Digital Contact-Tracing Applications.
Lohan, Elena Simona; Shubina, Viktoriia; Niculescu, Dragoș.
  • Lohan ES; Electrical Engineering Unit, Tampere University, 33720 Tampere, Finland.
  • Shubina V; Electrical Engineering Unit, Tampere University, 33720 Tampere, Finland.
  • Niculescu D; Computer Science and Engineering Department, University Politehnica of Bucharest, 060042 Bucharest, Romania.
Sensors (Basel) ; 22(2)2022 Jan 17.
Article in English | MEDLINE | ID: covidwho-1634825
ABSTRACT
Future social networks will rely heavily on sensing data collected from users' mobile and wearable devices. A crucial component of such sensing will be the full or partial access to user's location data, in order to enable various location-based and proximity-detection-based services. A timely example of such applications is the digital contact tracing in the context of infectious-disease control and management. Other proximity-detection-based applications include social networking, finding nearby friends, optimized shopping, or finding fast a point-of-interest in a commuting hall. Location information can enable a myriad of new services, among which we have proximity-detection services. Addressing efficiently the location privacy threats remains a major challenge in proximity-detection architectures. In this paper, we propose a location-perturbation mechanism in multi-floor buildings which highly protects the user location, while preserving very good proximity-detection capabilities. The proposed mechanism relies on the assumption that the users have full control of their location information and are able to get some floor-map information when entering a building of interest from a remote service provider. In addition, we assume that the devices own the functionality to adjust to the desired level of accuracy at which the users disclose their location to the service provider. Detailed simulation-based results are provided, based on multi-floor building scenarios with hotspot regions, and the tradeoff between privacy and utility is thoroughly investigated.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Privacy / Mobile Applications Type of study: Diagnostic study / Observational study Language: English Year: 2022 Document Type: Article Affiliation country: S22020687

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Privacy / Mobile Applications Type of study: Diagnostic study / Observational study Language: English Year: 2022 Document Type: Article Affiliation country: S22020687