A moving-object index for efficient query processing with peer-wise location privacy
Proceedings of the VLDB Endowment
Extracting urban patterns from location-based social networks
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Children and geotagged images: quantitative analysis for security risk assessment
International Journal of Electronic Security and Digital Forensics
Indistinguishable regions in geographic privacy
Proceedings of the 27th Annual ACM Symposium on Applied Computing
We know where you live: privacy characterization of foursquare behavior
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Towards understanding residential privacy by analyzing users' activities in foursquare
Proceedings of the 2012 ACM Workshop on Building analysis datasets and gathering experience returns for security
Semantic trajectories modeling and analysis
ACM Computing Surveys (CSUR)
A general framework for geo-social query processing
Proceedings of the VLDB Endowment
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Geo-social networks (GeoSNs) provide context-aware services that help associate location with users and content. The proliferation of GeoSNs indicates that they're rapidly attracting users. GeoSNs currently offer different types of services, including photo sharing, friend tracking, and "check-ins." However, this ability to reveal users' locations causes new privacy threats, which in turn call for new privacy-protection methods. The authors study four privacy aspects central to these social networks — location, absence, co-location, and identity privacy — and describe possible means of protecting privacy in these circumstances.