Password-free Authentication for Smartphone Touchscreen Based on Finger Size Pattern

Authors

  • Yaser Ali Enaya Assist. lecturer University of Technology Department of Electromechanical Engineering, Baghdad, Iraq
  • Mohammed Jawad Mohammed Assist. Prof. Dr. University of Technology Department of Electromechanical Engineering, Baghdad, Iraq
  • Ghassan Abdulhussein Bilal

DOI:

https://doi.org/10.3991/ijim.v14i19.17239

Keywords:

data trace, support factor, confidence factor, training set, exact-range, size-range, pattern-range

Abstract


This study introduces a novel authentication methodology; it is based on pattern recognition of fingers size and pressure when users touch smartphone screen. By analyzing diagrams of these touches and applying data mining for the first time as an authentication technique, this paper presents three new approaches. First, an exact-range evaluation approach has been verified that size is more recognition consistency than pressure. Second, a pattern-range is a new technique reliance on size frequency position. At last, using a size-range has been facilitated the login. The association rules have been modified to work on finger touchscreen data files. To login, 94.1111% of 18 authorized users are succeeded and 98.9% of 20 unauthorized users are failed. Android device and Android studio are used. Size and pressure are normalized to 1; a training set is applied; the password is not considered.

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Published

2020-11-24

How to Cite

Enaya, Y. A., Jawad Mohammed, M., & Bilal, G. A. (2020). Password-free Authentication for Smartphone Touchscreen Based on Finger Size Pattern. International Journal of Interactive Mobile Technologies (iJIM), 14(19), pp. 163–179. https://doi.org/10.3991/ijim.v14i19.17239

Issue

Vol. 14 No. 19 (2020)

Section

Papers

License

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