Abstract
The development of wearable medical devices with sensors has been triggered the health care system by the augmentation of IoT. Health monitoring system in the present scenario elicited and channeled the advancement of medical arena. For tracking health data in the field of IoT, a considerable amount of sensors are on deck right away. On the other hand, the data engender by IoT devices have to face multitudinous security outcomes. In order to tackle the same, some of the personal health monitoring systems still face an umpteen data insecurity. The electronic medical health data generated by IoT are encrypted and transferred to the cloud storage system. This aims to ensure the patient’s data security as well as to access control of the normal situation. Therefore the indulgent suffering from illness has to be served by a high quality assured services in a secure platform. It is been generated not only from the wearable device for getting health data but from multiple parameters collected from different agents also. The proposed model provides a secure architecture and an encrypted MEHR shared between all the actors are incorporated well in the system, and also a mobile application developed for the same will make the user more handy. A broad comparison and simulation tested results with the proposed algorithms make it more decisive and productive.
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More From: Journal of Ambient Intelligence and Humanized Computing
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