Towards location-based social networking services
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
Preserving location and absence privacy in geo-social networks
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Privacy preservation in the dissemination of location data
ACM SIGKDD Explorations Newsletter
The VLDB Journal — The International Journal on Very Large Data Bases
A privacy preserving system for friend locator applications
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
Probabilistic range monitoring of streaming uncertain positions in geosocial networks
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Location privacy attacks based on distance and density information
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Daisy: the center for data-intensive systems at Aalborg University
ACM SIGMOD Record
Private proximity detection and monitoring with vicinity regions
Proceedings of the 12th International ACM Workshop on Data Engineering for Wireless and Mobile Acess
Private proximity detection for convex polygons
Proceedings of the 12th International ACM Workshop on Data Engineering for Wireless and Mobile Acess
Exploring the potential in practice for opportunistic networks amongst smart mobile devices
Proceedings of the 19th annual international conference on Mobile computing & networking
Smart cities software: customized messages for mobile subscribers
WiFlex'13 Proceedings of the First international conference on Wireless Access Flexibility
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A privacy-aware proximity detection service determines if two mobile users are close to each other without requiring them to disclose their exact locations. Existing proposals for such services provide weak privacy, give low accuracy guarantees, incur high communication costs, or lack flexibility in user preferences. We address these shortcomings with a client-server solution for proximity detection, based on encrypted, multi-level partitions of the spatial domain. Our service notifies a user if any friend users enter the user’s specified area of interest, called the vicinity region. This region, in contrast to related work, can be of any shape and can be flexibly changed on the fly. Encryption and blind evaluation on the server ensures strong privacy, while low communication costs are achieved by an adaptive location-update policy. Experimental results show that the flexible functionality of the proposed solution is provided with low communication cost.