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Eye Tracking Graphical Passwords

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Advances in Human Factors in Cybersecurity (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 593))

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Abstract

In this paper, we investigate the cognitive process behind graphical password selection by using eye-tracking. The goal of the study is to discover how users perceive and react to graphical authentication during graphical password selection, which is valuable for improving the design concepts in novel authentication mechanisms. As a result, we present the initial results of the study noting cognitive differences based on gender, and we define user profiles for enrolment and authentication processes.

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Author information

Authors and Affiliations

  1. Ss. Cyril and Methodius University, Goce Delcev 9b, 1000, Skopje, Macedonia

    Martin Mihajlov

  2. Jozef Stefan Institute, Jamova 16, 1000, Ljubljana, Slovenia

    Borka Jerman-Blazic

Authors
  1. Martin Mihajlov
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  2. Borka Jerman-Blazic
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Corresponding author

Correspondence to Martin Mihajlov .

Editor information

Editors and Affiliations

  1. Soar Technology, Inc., Belle Isle, Florida, USA

    Denise Nicholson

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Mihajlov, M., Jerman-Blazic, B. (2018). Eye Tracking Graphical Passwords. In: Nicholson, D. (eds) Advances in Human Factors in Cybersecurity. AHFE 2017. Advances in Intelligent Systems and Computing, vol 593. Springer, Cham. https://doi.org/10.1007/978-3-319-60585-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-60585-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60584-5

  • Online ISBN: 978-3-319-60585-2

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