The Analysis of Emotions over Keystroke Dynamics

Computer is one of the fastest growing industries in the past decades. Computer network further enables the information exchange from far remote locations within an unbelievable speed. As more and more devices are connected on the Internet of Things (IoT) network, organic interface on smart devices is influencing the security requirements. The attack on mobile devices and web interfaces constitute the major source of attacks in computer networks. Password as a form of authentication based on “what you know” has become widely used in computer devices and networks because of its ease of use and limited processing requirements by the application. However, this form of authentication is susceptible to various attacks including brute force attack, shoulder surfing, memory dump and spoofing. Also this form of authentication complicates the security requirements of IoT devices. Traditional keystroke features related to timing, depression of keys, and virtual key force of users, have been considered for authentication purposes. Recently, human emotion has been studied which can add another unique feature applied to password authentication. This paper investigates the effectiveness of the keystroke dynamics with the influence of emotion.