Inferring User Relationship from Hidden Information in WLANs - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

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.
Fichier principal
Vignette du fichier
pub.pdf (1.04 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-00747850 , version 1 (02-11-2012)

Identifiers

  • HAL Id : hal-00747850 , version 1

Cite

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⟩
220 View
413 Download

Share

Gmail Facebook X LinkedIn More