Inferring user relationship from hidden information in WLANs

Ningning Cheng; Prasant Mohapatra; Mathieu Cunche; Mohamed Ali Kaafar; Roksana Boreli; Srikanth Krishnamurthy

doi:10.1109/MILCOM.2012.6415713

Inferring user relationship from hidden information in WLANs

Ningning Cheng^*, Prasant Mohapatra, Mathieu Cunche, Mohamed Ali Kaafar, Roksana Boreli, Srikanth Krishnamurthy

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

28 Citations (Scopus)

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.

Original language	English
Title of host publication	2012 IEEE Military Communications Conference
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Print)	9781467317290
DOIs	https://doi.org/10.1109/MILCOM.2012.6415713
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE Military Communications Conference, MILCOM 2012 - Orlando, FL, United States Duration: 1 Nov 2012 → 1 Nov 2012

Conference

Conference	2012 IEEE Military Communications Conference, MILCOM 2012
Country/Territory	United States
City	Orlando, FL
Period	1/11/12 → 1/11/12

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10.1109/MILCOM.2012.6415713

Cite this

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title = "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.",

author = "Ningning Cheng and Prasant Mohapatra and Mathieu Cunche and Kaafar, {Mohamed Ali} and Roksana Boreli and Srikanth Krishnamurthy",

year = "2012",

doi = "10.1109/MILCOM.2012.6415713",

language = "English",

isbn = "9781467317290",

booktitle = "2012 IEEE Military Communications Conference",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2012 IEEE Military Communications Conference, MILCOM 2012 ; Conference date: 01-11-2012 Through 01-11-2012",

}

Cheng, N, Mohapatra, P, Cunche, M, Kaafar, MA, Boreli, R & Krishnamurthy, S 2012, Inferring user relationship from hidden information in WLANs. in 2012 IEEE Military Communications Conference., 6415713, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, 2012 IEEE Military Communications Conference, MILCOM 2012, Orlando, FL, United States, 1/11/12. https://doi.org/10.1109/MILCOM.2012.6415713

Inferring user relationship from hidden information in WLANs. / Cheng, Ningning; Mohapatra, Prasant; Cunche, Mathieu et al.
2012 IEEE Military Communications Conference. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 2012. 6415713.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T1 - Inferring user relationship from hidden information in WLANs

AU - Cheng, Ningning

AU - Mohapatra, Prasant

AU - Cunche, Mathieu

AU - Kaafar, Mohamed Ali

AU - Boreli, Roksana

AU - Krishnamurthy, Srikanth

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

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AN - SCOPUS:84874291491

SN - 9781467317290

BT - 2012 IEEE Military Communications Conference

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway

T2 - 2012 IEEE Military Communications Conference, MILCOM 2012

Y2 - 1 November 2012 through 1 November 2012

ER -

Inferring user relationship from hidden information in WLANs

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