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  5. Who Can Find My Devices? Security and Privacy of Apple’s Crowd-Sourced Bluetooth Location Tracking System
 
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2022
Zweitveröffentlichung
Konferenzveröffentlichung
Verlagsversion

Who Can Find My Devices? Security and Privacy of Apple’s Crowd-Sourced Bluetooth Location Tracking System

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Hauptpublikation
10.2478_popets-2021-0045.pdf
CC BY-NC-ND 4.0 International
Format: Adobe PDF
Size: 2.21 MB
TUDa URI
tuda/8116
URN
urn:nbn:de:tuda-tuprints-205985
DOI
10.26083/tuprints-00020598
Autor:innen
Heinrich, Alexander ORCID 0000-0002-1150-1922
Stute, Milan ORCID 0000-0003-4921-8476
Kornhuber, Tim
Hollick, Matthias ORCID 0000-0002-9163-5989
Kurzbeschreibung (Abstract)

Overnight, Apple has turned its hundreds-of-million-device ecosystem into the world’s largest crowd-sourced location tracking network called o~ine finding (OF). OF leverages online finder devices to detect the presence of missing o~ine devices using Bluetooth and report an approximate location back to the owner via the Internet. While OF is not the first system of its kind, it is the first to commit to strong privacy goals. In particular, OF aims to ensure finder anonymity, prevent tracking of owner devices, and confidentiality of location reports. This paper presents the first comprehensive security and privacy analysis of OF. To this end, we recover the specifications of the closed-source OF protocols by means of reverse engineering. We experimentally show that unauthorized access to the location reports allows for accurate device tracking and retrieving a user’s top locations with an error in the order of 10 meters in urban areas. While we find that OF’s design achieves its privacy goals, we discover two distinct design and implementation flaws that can lead to a location correlation attack and unauthorized access to the location history of the past seven days, which could deanonymize users. Apple has partially addressed the issues following our responsible disclosure. Finally, we make our research artifacts publicly available.

Freie Schlagworte

Apple

Bluetooth

location privacy

reverse engineering

trackings tags

user identification

Sprache
Englisch
Fachbereich/-gebiet
20 Fachbereich Informatik > Sichere Mobile Netze
Forschungsprojekte und Grants
LOEWE > LOEWE-Zentren > emergenCITY
Forschungs- und xchange Profil
Profilbereiche > Cybersicherheit (CYSEC)
DDC
000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Veranstaltungstitel
The 21st Privacy Enhancing Technologies Symposium
Veranstaltungsort
Online
Startdatum der Veranstaltung
12.07.2021
Enddatum der Veranstaltung
16.07.2021
Publikationsjahr der Erstveröffentlichung
2022
Verlags-DOI
10.2478/popets-2021-0045
PPN
496568647
Zusätzliche Links (Organisation)
https://petsymposium.org/2021/index.php
Ergänzende Ressourcen (Forschungsdaten)
https://github.com/seemoo-lab/openhaystack
https://github.com/seemoo-lab/offline-finding-evaluation

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