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Pré-Publication, Document De Travail Année : 2024

Fingerprinting connected Wi-Fi devices using per-network MAC addresses

Résumé

Wi-Fi stands out as one of the most prominent and widespread wireless technologies in use today. Smartphones and various other Wi-Fi-enabled devices employ management frames called probe-requests to discover nearby networks. In this study, we reveal that it is possible to fingerprint based on the probe-requests they emit while connected to a network. Leveraging distinctive features of probe-request bursts we use a Random Forest-based approach to successfully fingerprint devices. This demonstrate that device randomizing their MAC addresses between networks can still be tracked. Through an assessment conducted on a real-world measurement comprising Wi-Fi devices with diverse operating systems, and spanning a month duration, we demonstrate that our model fingerprints individual devices with around 40% accuracy with 1 burst and perfect re-identification if two or more bursts are available.
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Dates et versions

hal-04655338 , version 1 (22-07-2024)

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  • HAL Id : hal-04655338 , version 1

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Abhishek Kumar Mishra, Samuel Pélissier, Mathieu Cunche. Fingerprinting connected Wi-Fi devices using per-network MAC addresses. 2024. ⟨hal-04655338⟩
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