Across different Wi-Fi devices, there exist differences in the probing behavior during active scanning. We conjecture that the behavior is sufficiently distinct to identify individual device types. We propose a feature engineering strategy to training machine learning algorithms for determination of the device type. We propose a concurrent capture across multiple Wi-Fi channels, thus allowing the features to include attributes for the transitions happening between channels during active scanning. Small-scale proof-of-concept results provide encouraging results about the method's potential.
CCS CONCEPTS• Networks → Link-layer protocols; Mobile and wireless security.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.