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Pattern Password Authentication Based on Touching Location

  • Orcan Alpar
  • Ondrej KrejcarEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9375)

Abstract

Pattern passwords are one of the embedded authentication method of touchscreen devices, however it has some major drawbacks which briefly are identifiability and imitability. The password of the user is noticeable when entering the pattern due to shining circles. Therefore, what we put forward in this paper is a novel biometric implementation of a hidden system to pattern password authentication for increasing password security. As opposed to general research concept which extracts touch or keystroke durations, we focused on the touching coordinates calculated the distance of the line between the constant pattern node and the touched place as well as the angle. Using these inputs, we trained the neural network by Gauss-Newton and Levenberg-Marquardt algorithms and conducted the experiments with these trained classifiers.

Keywords

Touchscreen Biometric authentication Gauss-Newton Levenberg-Marquardt Neural network 

Notes

Acknowledgment

This work and the contribution were supported by project “SP/2014/05 - Smart Solutions for Ubiquitous Computing Environments” from University of Hradec Kralove, Faculty of Informatics and Management.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Informatics and Management, Center for Basic and Applied ResearchUniversity of Hradec KraloveHradec KraloveCzech Republic

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