IoT enabled Framework for Wearable Medical Sensor Data
C. Bazil Wilfred, A. Beno, Darwin Nesakumar A, E. Thenmozhi, S. Bagavathy, S. Sheeba Rani · 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 2021
As the number of ubiquitous services offered by mobile devices increases substantially the number of mobile users also increases at an equivalent phase. This has led to the need for a secure communication framework, while obtaining e-Health information. Wearable sensor devices are connected to the patient's physical being in order to monitor glucose level, serum cholesterol, body temperature, blood pressure etc. In this work a secure framework is proposed to transmit information from the sensors in a more safe and secure manner. The first step in this methodology involves patient authentication which loves the wearable sensor devices to activate Angel link with the appropriate patient after which the information is sent to the cloud server. Along with username and password the patient's biometric information is also sent as an additional parameter. The two methods followed to encrypt data are quantum cryptography and Substitution Caesar cipher. The computational cost of the proposed system is considerably lower than that of the other previously existing systems. Moreover, the average correlation coefficient value stands at 0.04. This value is near ‘0’ which is indicative of the algorithm’s strength. The proposed work is compared with the existing methodologies and an analysis is made accordingly.