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https://doi.org/10.1109/BTAS.2014.6996259

has been cited by the following article:

• 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.