The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Anonymity, unobservability, and pseudeonymity — a proposal for terminology
International workshop on Designing privacy enhancing technologies: design issues in anonymity and unobservability
System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
SPINS: security protocols for sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Building efficient wireless sensor networks with low-level naming
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
The sybil attack in sensor networks: analysis & defenses
Proceedings of the 3rd international symposium on Information processing in sensor networks
ANSWER: autonomous wireless sensor network
Proceedings of the 1st ACM international workshop on Quality of service & security in wireless and mobile networks
Protecting Location Privacy Through Path Confusion
SECURECOMM '05 Proceedings of the First International Conference on Security and Privacy for Emerging Areas in Communications Networks
Privacy-aware location sensor networks
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
A survey on clustering algorithms for wireless sensor networks
Computer Communications
Source location anonymity for sensor networks
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
A k-anonymity privacy-preserving approach in wireless medical monitoring environments
Personal and Ubiquitous Computing
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Advances in sensor networks and mobile technologies enable the provision of improved medical services through monitoring of patients; however by recording continuously location data there is an increased privacy risk. Recording user related data requires the creation of appropriate privacy preserving policies, which often depend on the good intention of the data collector. Since it is often feasible for a malicious or negligent data provider to expose these data to an unauthorized user, one solution is to protect the patient's privacy by making difficult a linkage between specific measurements with patient's identity. In this paper we present a privacy preserving architecture which builds upon the concept of k-anonymity. While patient vital parameters can be constantly recorded with the use of sensor networks and critical events produce alerts that are notifying the medical personnel, we prevent an outsider to link the signals received with the identity of the user carrying the sensor. The collected data cannot be further used for identification of diseases or other important questions.