Intelligent One Step Authentication Using Machine Learning Model for Secure Interaction with Electronic Devices

With the enhanced technology every process is being made very simple, especially human interaction with devices is being constantly changed. Many technologies like artificial intelligence, machine learning, blockchain, and deep learning algorithms are helping us in developing secured interactions with the devices. They are also automating the process of authentication with the help of touch less technologies. Through this paper a methodology is proposed which is user friendly to illiterates and which can be proved efficient to overcome the challenges faced by the people because of the least digital literacy. This not only provides a solution for the present but can also help our future generations in handling complex transactions in a simpler manner. In the proposed methodology, real-time machine learning model is implemented which will make the process of one step authentication secure and reliable. With the increase in IoT technologies in future the number of devices interacting with each other will be very high. In that situation this model provides the best solution in terms of implementation as well as simplicity. The results obtained during real-time implementation are presented in this paper.