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WiFi has emerged as the standard method for local connectivity across various devices, including smart assistants, IoT devices, smart TVs, and AR/VR devices. Identifying WiFi devices passively in neighbourhoods has implications for law enforcement, urban planning, and socio-economic analysis. In this demo paper, we introduce a novel approach to constructing WiFi device-type signatures using Information Element (IE) attributes from wildcard WiFi probe requests. Our method accurately identifies device types even when dealing with randomized MAC addresses, requires minimal training as opposed to machine learning methods, and operate in real time.
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Bogahawatta et al. (2024) studied this question.
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