A Biometric Security Model for Wearable Healthcare

Internet of Medical Things (IoMTs) are essential building blocks for wearable healthcare applications including bio-systems, rehabilitation robotics, and activity recognition among others. IoMTs have got immensely resource restrictions thus lightweight security is the significant requirement. One of the primary problems of existing approaches to secure inter-sensor medical data transmission referred as decentralized communication is more energy consumption of wearable devices for implementing security in IoMT. And another main concern is if key length is increased, the randomness of produced keys is reduced significantly. Thus, in this research, we have developed a security model which can provide decentralized and secure communication by considering both the abovementioned factors for IoMT based healthcare applications. Given the fact that every individual has different physical and biological functionalities, thus body features have the potentials to be used for securing IoMT. For that reason, bio-keys are generated in the proposed security model so that it will be more difficult for a hacker to eavesdrop medical information. The experimental results reveal a developed model out forms existing approaches for medical information security in terms of random keys generation and energy consumption.