Abstract
Active service discovery in Wi-Fi involves wireless stations broadcasting their Wi-Fi fingerprint, i.e. the SSIDs of their preferred wireless networks. The content of those Wi-Fi fingerprints can reveal different types of information about the owner. We focus on the relation between the fingerprints and the links between the owners. Our hypothesis is that social links between devices owners can be identified by exploiting the information contained in the fingerprint. More specifically we propose to consider the similarity between fingerprints as a metric, with the underlying idea: similar fingerprints are likely to be linked. We first study the performances of several similarity metrics on a controlled dataset and then apply the designed classifier to a dataset collected in the wild. Finally we discuss how Wi-Fi fingerprint can reveal informations on the nature of the links between users. This study is based on a dataset collected in Sydney, Australia, composed of fingerprints corresponding to more than 8000 devices.
Original language | English |
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Title of host publication | 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks |
Subtitle of host publication | proceedings |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 9 |
ISBN (Print) | 9781467312394 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 13th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012 - San Francisco, CA, United States Duration: 25 Jun 2012 → 28 Jun 2012 |
Conference
Conference | 13th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012 |
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Country/Territory | United States |
City | San Francisco, CA |
Period | 25/06/12 → 28/06/12 |