Paper Info
Title
Preserving Location-Related Privacy Collaboratively in Geo-social Networks
Abstract
The emerging geo-social networks bring us attractive location-based services as well as serious location-related privacy threats. Location information of users in geo-social networks might be revealed by friends carelessly, or deduced by users curiously or even maliciously. In order to avoid location leakages, we propose collaborative privacy management in geo-social networks. Users specify and broadcast their preferences on location-related privacies in advance, so that potential leakages can be reported automatically when new resources arrive. If necessary, the associated spatial and/or temporal information of resources will be tweaked according to the privacy preferences of involving users, so that \"old\" leakages can be eliminated while ensuring that \"new\" ones are not introduced. We design algorithms for such tweaks and construct experiments on a simulated dataset to demonstrate their usability and applicability.
Year
DOI
Venue
2014
10.1109/COMPSAC.2014.94
COMPSAC
Keywords
Field
DocType
collaborative privacy management,location leakages,data privacy,geographic information systems,location-based services,spatial information,temporal information,locationrelated privacy,geo-social networks,social networking (online),location information,location-related privacy threat,privacy preference,groupware,collaborative privacy management, locationrelated privacy, geo-social networks,collaboration,annealing,algorithm design and analysis,prototypes,privacy,location based services,read only memory
Broadcasting,Internet privacy,Algorithm design,Social network,Privacy by Design,Computer security,Computer science,Usability,Information privacy,Privacy software,Privacy management
Conference
ISSN
Citations 
PageRank 
0730-3157
0
0.34
References 
Authors
17
5
Name
Order
Citations
PageRank
Lin Zhang19124.95
Mingxuan Yuan2465.51
Yao Guo360960.84
Xiangqun Chen435834.11
Lei Chen56239395.84