Almost optimal set covers in finite VC-dimension: (preliminary version)
SCG '94 Proceedings of the tenth annual symposium on Computational geometry
Approximation schemes for covering and packing problems in image processing and VLSI
Journal of the ACM (JACM)
Concepts for personal location privacy policies
Proceedings of the 3rd ACM conference on Electronic Commerce
Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Wireless Location Privacy Protection
Computer
A Geometric Theorem for Network Design
IEEE Transactions on Computers
Mix Zones: User Privacy in Location-aware Services
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Protecting Location Privacy Through Path Confusion
SECURECOMM '05 Proceedings of the First International Conference on Security and Privacy for Emerging Areas in Communications Networks
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Privacy-aware location sensor networks
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
A formal privacy system and its application to location based services
PET'04 Proceedings of the 4th international conference on Privacy Enhancing Technologies
Enabling location privacy and medical data encryption in patient telemonitoring systems
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
An event driven framework for assistive CPS environments
ACM SIGBED Review - Special Issue on the 2nd Joint Workshop on High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability
Friendship-based location privacy in Mobile Social Networks
International Journal of Security and Networks
Using an autonomous robot to maintain privacy in assistive environments
Security and Communication Networks
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While pervasive technology becomes more widely used in assisted living environments, it becomes more important to preserve the privacy of patients being monitored. Location data of patients can be collected through sensors for behavior patterns analysis, and they can also be shared among researchers for further research for early disease diagnosis. However, sharing location information also introduces privacy concerns. A series of consecutive location samples can be considered as a trajectory of a single person, and this may leak private information if obtained by malicious users. In this paper, this problem is discussed and a location randomization algorithm is proposed to protect users' location privacy. We defined privacy metrics according to location privacy and proposed a method using dynamic mix zones to confound trajectories of two or more persons.