Poster: Can You Find Me?: Linking Devices Despite Wi-Fi MAC Randomization at MobiCom 2023

We present results for exposing vulnerabilities in MAC address randomization using Wi-Fi network discovery traffic collected at MobiCom 2023. By analyzing probe request sequence numbers and vendor-specific information elements, we successfully link randomized MAC addresses, reducing the observed MAC addresses to linked groups by over 45%. This demonstrates current MAC randomization protocols inadequately protect device privacy during network discovery.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697454
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Poster: Can You Find Me?: Linking Devices Despite Wi-Fi MAC Randomization at MobiCom 2023

Robin Kravets, Federico Cifuentes-Urtubey
1 citations
Privacy-Preserving Technologies in Data
0.35
article

Poster: Can You Find Me?: Linking Devices Despite Wi-Fi MAC Randomization at MobiCom 2023

Robin Kravets, Federico Cifuentes-Urtubey
article en
1 citations

Abstract

We present results for exposing vulnerabilities in MAC address randomization using Wi-Fi network discovery traffic collected at MobiCom 2023. By analyzing probe request sequence numbers and vendor-specific information elements, we successfully link randomized MAC addresses, reducing the observed MAC addresses to linked groups by over 45%. This demonstrates current MAC randomization protocols inadequately protect device privacy during network discovery.

University of Illinois Urbana-Champaign (US)
Openalex Percentile: Top 31%
Privacy-Preserving Technologies in Data
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.