User Authentication using Keystroke Dynamics
Jyotsna Gaikwad, MET Institute of Engineering, Nashik; Bhagyashree Kulkarni ,MET Institute of Engineering, Nashik; Nikita Phadol ,MET Institute of Engineering, Nashik; Sneha Sarukte ,MET Institute of Engineering, Nashik
Biometric, Digraph, Infancy, Keystroke Dynamics, Neurons
There is need to secure sensitive data and computer systems from intruders while allowing ease of access for authenticating the user is one of the main problems in computer security. Traditionally, passwords have been the usual method for controlling access to computer systems but this approach has many inherent flaws. Keystroke dynamics is a biometric technique to recognize and an analysis of his/her typing patterns. In the experiment, we measure mean, standard deviation and median values of keystroke features such as latency, duration, digraph and their combinations and compare their performance. The latest trend in authenticating users is by using the potentiality of biometrics. Keystroke dynamics is a behavioral biometrics which captures the typing rhythms of users and then authenticates them based on the dynamics captured. In this paper, a detailed study on the evaluation of keystroke dynamics as a measure of authentication is carried out. This paper gives an insight from the infancy stage to the current work done on this domain which can be used by researchers working on this topic.
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Paper ID: GRDJEV03I060036
Published in: Volume : 3, Issue : 6
Publication Date: 2018-06-01
Page(s): 58 - 66
Published in: Volume : 3, Issue : 6
Publication Date: 2018-06-01
Page(s): 58 - 66