Enhancing The Privacy For Message Authentication Using Cryptographic Methods In Internet Of Things

Abstract

In recent years, the internet of things (IoT) has experienced an exponential and wide-ranging growth in popularity. IoT devices serve a variety of functions that are not directly related to improving people's lives. In order to make use of the huge volumes of data that are generated and captured by these devices, machine learning and big data analytics are employed. When dealing with cyber threats such as identity theft and hacking, it is critical to address security and privacy concerns such as impersonation and data pollution/poisoning. Despite this, because resources are limited and IoT devices have a high level of diversity, it is difficult to build lightweight and versatile IoT security solutions for the Internet of Things. This paper describes a solution for IoT communication authentication that is private, secure, and quick. As part of our efforts to increase efficiency and functionality, we developed a system that allows IoT devices to employ alternate cryptographic settings that may be computed both offline and online, so increasing the variety and usefulness of the system.