A personalized rhythm click‐based authentication system

Abstract

PurposeIn keystroke‐based authentication systems, an input device to enter a password is needed. Users are verified by checking the validity of the password and typing characteristics. However, some devices have no standard desktop keyboard such as personal digital assistants and mobile phones. With these types of electronics, the system cannot successfully work in the authentication phase while the registration process is implemented based on a computer keyboard. This results in a reduction of system portability. The purpose of this paper is to employ the rhythm clicked by a mouse as another identifiable factor to authenticate a user's identity.Design/methodology/approachMouse click can be replaced by a stylus and fingers on touch screens or numeral buttons on mobile phones. A total of 25 users participated and the click data are based on time instances of pressing and releasing the mouse button, which are captured while the user clicks a rhythm. Three features are calculated using these click data, and a reasonable amount of results with neural networks and other classifiers shows the click characteristics are able to function as another identifiable factor.FindingsA reasonable amount of results with neural networks and other classifiers shows the click characteristics are able to function as another identifiable factor.Originality/valueThe paper presents a personalized rhythm click‐based authentication system.