User Impersonation Detection and Authentication Using Image Based OTP

In this age of the internet and technology, it is very important to be vigilant with one's devices and have safe and secure passwords to avoid several types of crimes. In this paper, we concentrate on two types of attacks: user impersonation and shoulder surfing. User impersonation is the act where one person pretends to be you or someone else to create confusion or obtain information that is private to you. To prevent this, we discuss a method to classify a person as authorised or unauthorised, utilising data from the user's mobile device's accelerometer and gyroscope sensors [1]. One of the simplest methods scammers use to acquire your personal information is by shoulder surfing, which may be as easy as simply looking over your shoulder. It is extremely common and hard to prevent in crowded areas. We proposed a method of authentication that uses OTPs and graphical password techniques and would prove effective against shoulder surfing attacks.