Loy, C.C., Lai, W.K. and Lim, C.P. (2007) Keystroke Patterns Classification Using the ARTMAP-FD Neural Network. Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Kaohsiung, 26-28 November 2007, Vol. 1, 61-64.
https://doi.org/10.1109/IIH-MSP.2007.218

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.