Enhanced Authentication Model based on Trustworthy for IoT enabled Networks

The major demand of the modern environment and the technological world is to interconnect devices and provide intercommunication between objects, such as sensors, mobiles, wearable devices, automobiles, appliances, etc. These interconnected connections are used to control the automation of buildings, the operation of household appliances, the development of smart cities, and the intelligent operation of communication equipment. The Internet of Things (IoT) is a category of technology that includes both wired and wireless networks as well as smart gadgets. There are several IoT -based applications in industries including communications and agriculture. Although the Internet of Things (IoT) is crucial to the status of communications today, the security of these interconnected devices is as significant and has no error bounds. The Internet of Things (IoT)-based gadgets are created with pervasive intelligence that can connect with people and other widely dispersed devices. IoT's sophisticated features and applications have a number of security-related issues. The goal of this project is to develop enhanced security models for IoT networks and devices utilizing machine learning and cutting-edge cryptography methods.