Exploiting Wi-Fi Fingerprints for Practical Device Localization and Tracking in Public Environments

Published in IEEE Annual Computer Security Applications Conference (ACSAC 2026), 2026

This work investigates privacy leakage from Wi-Fi metadata and presents a lightweight framework for device localization and tracking over existing public Wi-Fi infrastructure. Evaluations across six real-world environments show that the framework achieves sub-meter tracking accuracy in most cases, highlighting significant privacy risks in public Wi-Fi deployments.

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