TITLE:
Keystroke Dynamics Based Authentication Using Possibilistic Renyi Entropy Features and Composite Fuzzy Classifier
AUTHORS:
Aparna Bhatia, Madasu Hanmandlu
KEYWORDS:
Keystroke Dynamics, Information Set, Renyi Entropy Function and Its Possibilistic Version, Composite Fuzzy Classifier
JOURNAL NAME:
Journal of Modern Physics,
Vol.9 No.2,
January
19,
2018
ABSTRACT: This paper presents the formulation of the possibilistic Renyi entropy function from the Renyi entropy function using the framework of Hanman-Anirban entropy function. The new entropy function is used to derive the information set features from keystroke dynamics for the authentication of users. A new composite fuzzy classifier is also proposed based on Mamta-Hanman entropy function and applied on the Information Set based features. A comparison of the results of the proposed approach with those of Support Vector Machine and Random Forest classifier shows that the new classifier outperforms the other two.