k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
ANODR: anonymous on demand routing with untraceable routes for mobile ad-hoc networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Wireless Location Privacy Protection
Computer
Enhancing Source-Location Privacy in Sensor Network Routing
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
What Anyone Can Know: The Privacy Risks of Social Networking Sites
IEEE Security and Privacy
Understanding privacy settings in facebook with an audience view
UPSEC'08 Proceedings of the 1st Conference on Usability, Psychology, and Security
Strategies and struggles with privacy in an online social networking community
BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 1
ARM: anonymous routing protocol for mobile ad hoc networks
International Journal of Wireless and Mobile Computing
Preserving location and absence privacy in geo-social networks
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
2Ploc: Preserving Privacy in Location-based Services
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Achieving Receiver Location Privacy in Mobile Ad Hoc Networks
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
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Location information is considered as private in many scenarios. Protecting location information on mobile ad-hoc networks has attracted much research in past years. However, location information protection on social networks has not been paid much attention. In this paper, we present a novel location privacy protection approach on the basis of user messages in social networks. Our approach grants flexibility to users by offering them multiple protecting options. To the best of our knowledge, this is the first attempt to protect social network users' location information via text messages. We propose five algorithms for location privacy protection on social networks.