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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

Using Eye Movement Features for Secure Authentication

verfasst von : Esraa Almohaimeed, Daad Albriki, Fatima Abdulkreem, Abeer Alghulayqah

Erschienen in: Advances in Emerging Information and Communication Technology

Verlag: Springer Nature Switzerland

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Abstract

The protection of data requires the implementation of security and privacy measures. A computer system’s first line of defiance is user authentication. Authentication mechanisms include a variety of mechanisms, and one of the newest and most sophisticated is biometric authentication. By using their biometrics, such as a face scan, fingerprint, voice recognition, gait recognition, and eye movement, biometric authentication uses the unique characteristics of each individual to verify and authenticate them. This paper focuses on eye movement. In addition to being robust against spoofing, continuous authentication, and authentication unconscious without specific action by the user, eye movement has other advantages as well. To identify individuals, this system developed an authentication model based on eye movement features.

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Vorheriges Kapitel Hybrid HQ Stereo Cameras and RPLIDAR Sensor System Applied to Navigation of the Autonomous Mobile Robots
Nächstes Kapitel Implementing Face Recognition Using Deep Learning
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Metadaten
Titel
Using Eye Movement Features for Secure Authentication
verfasst von
Esraa Almohaimeed
Daad Albriki
Fatima Abdulkreem
Abeer Alghulayqah
Copyright-Jahr
2024
Buch
Advances in Emerging Information and Communication Technology

Print ISBN: 978-3-031-53236-8

Electronic ISBN: 978-3-031-53237-5

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-53237-5_22

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