Abstract:
With encouraging the perspective of the IoT, Internet of Medical Things (IoMT) used different wearable devices and sensors for better quality patient care. It provides a more flexible way to monitor patient's profiles remotelyand in real timeas compared to the traditional offline healthcare system. However, there are data privacy challenges due to the absence of proper security mechanisms in low powercomputing devices. The limitation made the data vulnerable to hack and tamper when it transfers from one device to another. In available solutions, the devices send unencrypted datato a central server where it encryptsand forwards, on-demand, to requesting devices. There are two primary challenges in the approach: first, the data link is still vulnerable between the source device and central server; second, the response time of the server gets slower with an increasing number of devices. This paper proposes a secure and faster distributed method, which shares a patient's data from different IoMT devices withhealthcare providers without the need for the centralized server. The research harnessesthe power of other locally available IoMT devices that have the more computational capability. Our experimental results demonstrate that with the increase in a number of IoMT devices on the network, the percentage of encrypted data transmissionsalso increase since there are more chances to find a nearby secure device. Results further show that the average response time has been reduced from0.6msto 0.4msusing the proposed distributed vs centralized system.
