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IEEE 802.11 CSI randomization to preserve location privacy: An empirical evaluation in different scenarios

Cominelli, Marco ; Kosterhon, Felix ; Gringoli, Francesco ; Lo Cigno, Renato ; Asadi, Arash (2021)
IEEE 802.11 CSI randomization to preserve location privacy: An empirical evaluation in different scenarios.
In: Computer Networks, 191
doi: 10.1016/j.comnet.2021.107970
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Passive, device-free localization of a person exploiting the Channel State Information (CSI) from Wi-Fi signals is quickly becoming a reality. While this capability would enable new applications and services, it also raises concerns about citizens’ privacy. In this work, we propose a carefully-crafted obfuscating technique against one of such CSI-based localization methods. In particular, we modify the transmitted I/Q samples by leveraging an irreversible randomized sequence. I/Q symbol manipulation at the transmitter distorts the location-specific information in the CSI while preserving communication, so that an attacker can no longer derive information on user’s location. We test this technique against a Neural Network (NN)-based localization system and show that the randomization of the CSI makes undesired localization practically unfeasible. Both the localization system and the CSI randomization are implemented on real devices. The experimental results obtained in our laboratories show that the considered localization method works smoothly regardless of the environment, and that adding random information to the CSI prevents the localization, thus providing the community with a system that preserve location privacy and communication performance at the same time.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Cominelli, Marco ; Kosterhon, Felix ; Gringoli, Francesco ; Lo Cigno, Renato ; Asadi, Arash
Art des Eintrags: Bibliographie
Titel: IEEE 802.11 CSI randomization to preserve location privacy: An empirical evaluation in different scenarios
Sprache: Englisch
Publikationsjahr: Mai 2021
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Computer Networks
Jahrgang/Volume einer Zeitschrift: 191
DOI: 10.1016/j.comnet.2021.107970
Kurzbeschreibung (Abstract):

Passive, device-free localization of a person exploiting the Channel State Information (CSI) from Wi-Fi signals is quickly becoming a reality. While this capability would enable new applications and services, it also raises concerns about citizens’ privacy. In this work, we propose a carefully-crafted obfuscating technique against one of such CSI-based localization methods. In particular, we modify the transmitted I/Q samples by leveraging an irreversible randomized sequence. I/Q symbol manipulation at the transmitter distorts the location-specific information in the CSI while preserving communication, so that an attacker can no longer derive information on user’s location. We test this technique against a Neural Network (NN)-based localization system and show that the randomization of the CSI makes undesired localization practically unfeasible. Both the localization system and the CSI randomization are implemented on real devices. The experimental results obtained in our laboratories show that the considered localization method works smoothly regardless of the environment, and that adding random information to the CSI prevents the localization, thus providing the community with a system that preserve location privacy and communication performance at the same time.

Zusätzliche Informationen:

Art.No.: 107970

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Sichere Mobile Netze
20 Fachbereich Informatik > Wireless Communication and Sensing Lab (WISE)
Hinterlegungsdatum: 25 Jul 2023 07:20
Letzte Änderung: 25 Jul 2023 07:20
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