Skip to Main content Skip to Navigation
New interface
Conference papers

Inferring User Relationship from Hidden Information in WLANs

Abstract : With ever increasing usage of handheld devices and vast deployment of wireless networks, we observe that it is possible to collect data from mobile devices and reveal personal relationships of their owners. In the paper, we exploit the hidden information collected from WLAN devices and infer individual relationships between device pairs based on three observation dimensions: network association history, physical proximity and spatio-temporal behavior. By measuring WLAN data, we demonstrate that device owners with social relationship tend to share access points, or show similar behavior patterns in wireless communications (e.g. go to the same place periodically to access the same WLAN network). These results can be exploited for various network analytic purposes.
Document type :
Conference papers
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download
Contributor : Mathieu Cunche Connect in order to contact the contributor
Submitted on : Friday, November 2, 2012 - 12:05:00 PM
Last modification on : Wednesday, November 30, 2022 - 11:22:07 AM
Long-term archiving on: : Sunday, February 3, 2013 - 3:36:40 AM


Publisher files allowed on an open archive


  • HAL Id : hal-00747850, version 1


Ningning Cheng, Prasant Mohapatra, Mathieu Cunche, Mohamed Ali Kaafar, Roksana Boreli, et al.. Inferring User Relationship from Hidden Information in WLANs. MILCOM - IEEE Military Communications Conference - 2012, Oct 2012, Orlando, United States. ⟨hal-00747850⟩



Record views


Files downloads