Enhancing Data Security in Fitness Tracker Using HAN Algorithm

Abstract

There are some people who are interested in the Internet of things (IoT), which is a cutting-edge technology that people are interested
in. People who use the Internet of Things like it because it makes them more aware, sends information reliably, and processes things
quickly. People who build things should use small tools that don't have a lot of power. Typical encryption designs are very complicated because they have a lot of different parts. It takes a lot of time to encrypt, which hurts the energy of the devices. Amalgam encryption is a cutting-edge method that can be used in IoT. This type of encryption leads to a lot of surveillance and little data processing. In this work, we have scheduled to use the amalgam encryption approach which has been supervised so as to diminish safety perils and reinforcing encryption's speed and less calculation intricacy in a fitness tracker made for the army people which will track various health aspects of the army personals, encrypt the data using the hybrid algorithm and store it in the cloud whi ch can only be accessed by giving the fingerprint of the registered officers in order to authenticate the user and keep the individual personals data safe. The fundamental idea of the project is to implement an IoT sensor network along with the security aspect of the data being the primary concern