Demo: Unveiling Randomized Device Identity in Dynamic Wi-Fi Networks
This work presents an attack to undermine MAC address randomization using a dual-layer approach combining PHY and MAC-layer analysis. By passively collecting CSI features along with MAC-layer behavioral patterns, our system applies an XGBoost classifier to distinguish devices enabling MAC randomization in dense networks, achieving up to 100% precision and 86% recall.
Authors
- Robin Kravets (ORCID: https://orcid.org/0009-0002-5042-6715)
- Federico Cifuentes-Urtubey (ORCID: https://orcid.org/0009-0002-1483-7576)
- Deepak Vasisht (ORCID: https://orcid.org/0000-0003-3826-0978)
Institutions
- University of Illinois Urbana-Champaign (US)
Publication Details
- Published
- 2025-06-23
- DOI
- https://doi.org/10.1145/3711875.3734384
- Primary Topic
- Cooperative Communication and Network Coding
- Type
- article
- Field-Weighted Citation Impact
- 0.00