research unit 1

This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit


Type of publication:Article
Entered by:chita
TitleA k-Anonymity Privacy preserving approach in Wireless Medical Monitoring Environments
Bibtex cite IDRACTI-RU1-2014-14
Journal Personal and Ubiquitous Computing
Year published 2014
Volume 18
Number 1
Pages 61-74
Keywords Sensors,Remote medical monitoring,Anonymity,Clustering
With the proliferation of wireless sensor net- works and mobile technologies in general, it is possible to provide improved medical services and also to reduce costs as well as to manage the shortage of specialized personnel. Monitoring a personís health condition using sensors pro- vides a lot of benefits but also exposes personal sensitive information to a number of privacy threats. By recording user-related data, it is often feasible for a malicious or negligent data provider to expose these data to an unau- thorized user. One solution is to protect the patientís pri- vacy by making difficult a linkage between specific measurements with a patientís identity. In this paper we present a privacy-preserving architecture which builds upon the concept of k -anonymity; we present a clustering- based anonymity scheme for effective network manage- ment and data aggregation, which also protects userís privacy by making an entity indistinguishable from other k similar entities. The presented algorithm is resource aware, as it minimizes energy consumption with respect to other more costly, cryptography-based approaches. The system is evaluated from an energy-consuming and net- work performance perspective, under different simulation scenarios.
Belsis, P.
Pantziou, Grammati
779_2012_Article_618.pdf (main file)
Publication ID1029