A1 Refereed original research article in a scientific journal
Privacy of Community Pseudonyms in Wireless Peer-to-Peer Networks
Authors: Freudiger J, Jadliwala M, Hubaux JP, Niemi V, Ginzboorg P
Publisher: SPRINGER
Publication year: 2013
Journal: Mobile Networks and Applications
Journal name in source: MOBILE NETWORKS & APPLICATIONS
Journal acronym: MOBILE NETW APPL
Number in series: 3
Volume: 18
Issue: 3
First page : 413
Last page: 428
Number of pages: 16
ISSN: 1383-469X
DOI: https://doi.org/10.1007/s11036-012-0406-y
Abstract
Wireless networks offer novel means to enhance social interactions. In particular, peer-to-peer wireless communications enable direct and real-time interaction with nearby devices and communities and could extend current online social networks by providing complementary services including real-time friend and community detection and localized data sharing without infrastructure requirement. After years of research, the deployment of such peer-to-peer wireless networks is finally being considered. A fundamental primitive is the ability to discover geographic proximity of specific communities of people (e. g, friends or neighbors). To do so, mobile devices must exchange some community identifiers or messages. We investigate privacy threats introduced by such communications, in particular, adversarial community detection. We use the general concept of community pseudonyms to abstract anonymous community identification mechanisms and define two distinct notions of community privacy by using a challenge-response methodology. An extensive cost analysis and simulation results throw further light on the feasibility of these mechanisms in the upcoming generation of wireless peer-to-peer networks.
Wireless networks offer novel means to enhance social interactions. In particular, peer-to-peer wireless communications enable direct and real-time interaction with nearby devices and communities and could extend current online social networks by providing complementary services including real-time friend and community detection and localized data sharing without infrastructure requirement. After years of research, the deployment of such peer-to-peer wireless networks is finally being considered. A fundamental primitive is the ability to discover geographic proximity of specific communities of people (e. g, friends or neighbors). To do so, mobile devices must exchange some community identifiers or messages. We investigate privacy threats introduced by such communications, in particular, adversarial community detection. We use the general concept of community pseudonyms to abstract anonymous community identification mechanisms and define two distinct notions of community privacy by using a challenge-response methodology. An extensive cost analysis and simulation results throw further light on the feasibility of these mechanisms in the upcoming generation of wireless peer-to-peer networks.
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