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Enhancing Data Security in Fitness Tracker Using HAN Algorithm

Publication Type : Journal Article

Publisher : Siree Journals

Source : Journal of Pharmaceutical Negative Results

Url : https://doi.org/10.47750/pnr.2022.13.s03.075

Campus : Coimbatore

School : School of Engineering

Center : TIFAC CORE in Cyber Security

Year : 2022

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.Inthis work, we have scheduled to use the amalgamencryption approachwhich has been supervised so asto diminishsafety perils and reinforcing encryption's speed and less calculationintricacyin 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 which 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.

Cite this Research Publication : Pradeep Sudhakaran, M. Preetha, V. Sindhu; Enhancing Data Security in Fitness Tracker Using HAN Algorithm. Journal of Pharmaceutical Negative Results 2022, 460-464.

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