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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | HomeScout: Anti-Stalking Mobile App for Bluetooth Low Energy Devices |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | No |
| Status | Published in final form |
| Language |
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| ISBN | 979-8-3503-0073-4 |
| ISSN | 2831-7742 |
| Page Range | 1 - 9 |
| Event Title | 2023 IEEE 48th Conference on Local Computer Networks (LCN) |
| Event Type | conference |
| Event Location | Daytona Beach, FL, USA |
| Event Start Date | October 2 - 2023 |
| Event End Date | October 5 - 2023 |
| Series Name | IEEE Conference on Local Computer Networks (LCN) |
| Publisher | Institute of Electrical and Electronics Engineers |
| Abstract Text | 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. |
| Digital Object Identifier | 10.1109/lcn58197.2023.10223406 |
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