Title :
MLP neural network for keystroke-based user identification system
Author :
Popovici, Eduard C. ; Guta, Ovidiu G. ; Stancu, Liviu A. ; Arseni, Stefan C. ; Fratu, Octavian
Author_Institution :
ETTI Fac., “Politeh.” Univ. of Bucharest, Bucharest, Romania
Abstract :
In this paper we introduce a continuous authentication system based on keystroke dynamics (BIOMETRIC). We also propose two algorithms for extracting patterns and validating the user, both intended to be used in the same time to improve the overall performance of the validation process. The first one is based on a Multi Layer Perceptron (MLP) Neural Network and the second one relies on a trust algorithm that uses the Bhattacharyya coefficient.
Keywords :
authorisation; keyboards; multilayer perceptrons; trusted computing; BIOMETRIC project; Bhattacharyya coefficient; MLP neural network; continuous authentication system; keystroke based user identification system; keystroke dynamics; multilayer perceptron neural network; pattern extraction; trust algorithm; user validation; Authentication; Data mining; Neural networks; Neurons; Standards; Training; Vectors; Bhattacharyya coefficient; Keystroke dynamics; MLP Neural Network; User identification;
Conference_Titel :
Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), 2013 11th International Conference on
Conference_Location :
Nis
Print_ISBN :
978-1-4799-0899-8
DOI :
10.1109/TELSKS.2013.6704912
