Toward a security model for a body sensor platform

Abstract

Body Sensor Networks (BSNs) are used in the ubiquitous healthcare to measure human body functions like vital physiological data (e.g. heart beat). As the privacy-sensitive sensor data are transferred over the unreliable wireless connection and can be shared among various BSN applications, it is necessary to protect this data against potential threats. The purpose of this paper is to introduce an approach to design a lightweight security model with respect to limited resource constraints of our special purpose sensor platform.