A comparative study of fuzzy vault based security methods for wirless body sensor networks

摘要

Wireless Body Sensor Networks (WBSNs) are widely used for healthcare monitoring applications. Owing to the significance of confidentiality and security, the transmissions of medical information in WBSNs have to be severely protected. This research aims to develop an Intel Galileo based WBSN platform. The physiological characteristics such as (Electrocardiogram) ECG captured from human body can be used as exclusive way for entity identifications (EIs) to authenticate data in WBSNs. In this paper using Matlab software, we also compared the performance of some of recently developed fuzzy vault based data authentication methods for entity identification in WBSNs.