Empirical Studies of ECG Multiple Fiducial-points Based Binary Sequence Generation (MFBSG) algorithm in E-Health Sensor Platform

摘要

In this paper, the Arduino Uno based e-Health Sensor Platform V2.0 by Libelium is enhanced with the ECG Multiple Fiducial-points based Binary Sequence Generation (MFBSG) algorithm to secure wireless sensors within Wireless Body Area Networks (WBANs). The eHealth kit includes biometric and other medical related functionalities to monitor the human body conditions by utilizing 10 different sensors that includes electrocardiogram (ECG). Therefore, MF-BSG algorithm generates secret keys for encryption, decryption and authentication purposes. Furthermore, we have analyzed the performance of the enhanced version of the toolkit and compared it with the Enhanced Very Fast Decision Tree (EVFDT) mechanism based health care systems in terms attack detection accuracy. The results confirm that the monitored data is transferred to the required destination in a more accurate and secure manner as compared to previous algorithms.