User Identification Using Keystroke Dynamics

Keyboard Entropy is a feature, which will try to identify the authenticity of a user when the user is working via a keyboard. The authentication process is done by observing the change in the entropy of the user. The objective of the paper is to design and implement a biometric authentication scheme by means of keyboard entropy to secure all applications, which require password authentication. Username and password pairs as authentication factors are as weak as they are ubiquitous. Use of a single factor of authentication is so weak that multi factor authentication methods are required. The tolerance factor provides a bit of leniency to check the authenticity of user. It is introduced in the master data depending upon how much deviation is caused by the user at different times. This paper proposes two formulae for calculating tolerance value which generates False Acceptance rate (FAR) and False Rejection Rate (FRR).