DocumentCode :
496233
Title :
Vesta: A secure and autonomic system for pervasive healthcare
Author :
Zhu, Yanmin ; Sloman, Morris ; Lupu, Emil ; Sye Loong Keoh
Author_Institution :
Imperial Coll. London, London, UK
fYear :
2009
fDate :
1-3 April 2009
Firstpage :
1
Lastpage :
8
Abstract :
The proliferation of low-power wireless communications and handheld devices has facilitated the development of pervasive systems for healthcare applications. This paper describes a body sensor network comprising a personal controller, various biosensors and actuators for pervasive healthcare. Various physiological parameters such as heart rate or blood oxygen level can be continuously monitored. The growing complexity of such systems, however, poses challenges for system management and security. In this paper we present a secure autonomic body sensor network called Vesta which makes use of the extensible architecture pattern of a self managed cell (SMC). A policy-driven management paradigm supports adaptability to contextual changes by applying event-condition-action rules. Fine-grained access control of the system is realized through authorization policies. Experimental evaluation shows that it is viable and practical for real-world pervasive healthcare.
Keywords :
body sensor networks; health care; ubiquitous computing; SMC; Vesta; autonomic system; blood oxygen level; body sensor network; handheld devices; healthcare applications; heart rate; low power wireless communications; personal controller; pervasive healthcare; physiological parameters; policy driven management; self managed cell; system management; system security; Actuators; Biomedical monitoring; Biosensors; Blood; Body sensor networks; Communication system control; Handheld computers; Heart rate; Medical services; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare, 2009. PervasiveHealth 2009. 3rd International Conference on
Conference_Location :
London
Print_ISBN :
978-963-9799-42-4
Electronic_ISBN :
978-963-9799-30-1
Type :
conf
DOI :
10.4108/ICST.PERVASIVEHEALTH2009.5939
Filename :
5191233
Link To Document :
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