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Eye Movement Patterns as a Cryptographic Lock

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1263))

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Abstract

Eye tracking technologies play increasing role in advance vision systems, and multimedia applications. Such technologies can be also applied for security purposes, as a contactless devices and user interfaces. High precision of registered eye movements, allow also to use them in security cryptographic systems, in which individual and unique eye movement patterns, can be used as personal key or security lock. In this paper we define such solutions based on these technologies, which will be focused for creation of personalized security protocols for user authentication.

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Acknowledgments

This work has been supported by the AGH University of Science and Technology research Grant No 16.16.120.773.

This work has been supported by Pedagogical University of Krakow research Grant No BN.610-29/PBU/2020.

Author information

Authors and Affiliations

  1. Cryptography and Cognitive Informatics Research Group, AGH University of Science and Technology, 30 Mickiewicza Ave, 30-059, Kraków, Poland

    Marek R. Ogiela

  2. Department of Cryptography and Cognitive Informatics, Pedagogical University of Krakow, Podchorążych 2 St., 30-084, Kraków, Poland

    Lidia Ogiela

Authors
  1. Marek R. Ogiela
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  2. Lidia Ogiela
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Corresponding author

Correspondence to Marek R. Ogiela .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

    Kin Fun Li

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Ogiela, M.R., Ogiela, L. (2021). Eye Movement Patterns as a Cryptographic Lock. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_14

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