BL(u)E CRAB: A User-Centric Framework for Identifying Suspicious Bluetooth Trackers
Abstract
The system addresses detection of unwanted Bluetooth Low Energy trackers by analyzing multiple risk factors including the number of encounters, time with the user, distance traveled with the user, number of areas each device appeared in, and device proximity to user. It uses outlier detection to flag suspicious devices and presents findings through a customizable interface.
Type
Publication
2025 IEEE PerCom Workshops
