%0 Journal Article
%T Keystroke Dynamics Based Authentication Using Possibilistic Renyi Entropy Features and Composite Fuzzy Classifier
%A Aparna Bhatia
%A Madasu Hanmandlu
%J Journal of Modern Physics
%P 112-129
%@ 2153-120X
%D 2018
%I Scientific Research Publishing
%R 10.4236/jmp.2018.92008
%X 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.
%K Keystroke Dynamics
%K Information Set
%K Renyi Entropy Function and Its Possibilistic Version
%K Composite Fuzzy Classifier
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=81858