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HomeScout: Anti-Stalking Mobile App for Bluetooth Low Energy Devices

Journal
2023 IEEE 48th Conference on Local Computer Networks (LCN)
Type
conference paper
Date Issued
2023-10-02
Author(s)
Müller, Katharina
;
Bienz, Louis
;
Bruno Rodrigues  
;
Feng, Chao
;
Stiller, Burkhard
DOI
10.1109/LCN58197.2023.10223406
Abstract
Bluetooth Low Energy (BLE) personal trackers are affordable devices misused to track nonconsensual individuals. Due to the increased misuse, Apple implemented two detection applications. However, the Android application is limited to user-initiated scans with a fixed detection algorithm. This paper focuses on reducing the misuse of malicious trackers by examining current solutions, potential generic detection approaches, and improving tracker detection times. HomeScout expands detection to the Tile and Samsung Galaxy SmartTag+, and examines the misuse potential of all BLE-enabled devices. HomeScout can reliably detect devices tracking the user as quickly as 1 minute once in motion by optimizing the parameters. The optimal parameter setting for distance is 200 m due to its high recall rate, for occurrence is 2, and for time is 1 minute. Furthermore, HomeScout applies the tracking algorithm to all BLE-enabled devices.
Keywords
Internet-of-Things
Personal Trackers
Security
Sensing
Bluetooth Low Energy
Publisher
IEEE
Official URL
https://ieeexplore.ieee.org/abstract/document/10223406
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/121609
File(s)
Thumbnail Image
Name

HomeScout_Anti-Stalking_Mobile_App_for_Bluetooth_Low_Energy_Devices.pdf

Size

1.51 MB

Format

Adobe PDF

Checksum (MD5)

78dc414eb027091709ef0cd7f96909da

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