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A Fuzzy System for Three-Factor, Non-textual Authentication

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Intelligent Systems in Science and Information 2014 (SAI 2014)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 591))

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Abstract

As text-based authentication has had its critiques, non-textual techniques have been suggested throughout the last two decades. However, it is only lately, with the wide-spread adoption of smartphones and tablet devices that they have found a compelling application. Non-textual authentication may be faster and more secure and it also introduces a new paradigm for the authentication decision. We present a three factor system based on facial recognition, gesture and device ID and we define a fuzzy matching engine to handle authentication. Preliminary results indicate that such an approach can be fast and user-friendly.

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Acknowledgments

This work was supported by Enterprise Ireland and carried out under the intellectual property of Sensipass Ltd. Patent Publication No. WO/2012/164385 Method and Computer Program for Providing Authentication to Control Access to a Computer System, Roman Sirota (UA), Michael J. Hill (US) and Thomas R. Ruddy (US).

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Authors and Affiliations

  1. Nimbus Centre, Cork Institute of Technology, Bishopstown, Cork, Ireland

    James Stockdale, Alex Vakaloudis, Juan Manuel Escaño, Jian Liang & Brian Cahill

Authors
  1. James Stockdale
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  2. Alex Vakaloudis
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  3. Juan Manuel Escaño
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  4. Jian Liang
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  5. Brian Cahill
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Correspondence to Alex Vakaloudis .

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Editors and Affiliations

  1. Graduate School of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, London, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, London, United Kingdom

    Rahul Bhatia

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Stockdale, J., Vakaloudis, A., Escaño, J.M., Liang, J., Cahill, B. (2015). A Fuzzy System for Three-Factor, Non-textual Authentication. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems in Science and Information 2014. SAI 2014. Studies in Computational Intelligence, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-14654-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-14654-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14653-9

  • Online ISBN: 978-3-319-14654-6

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