Encrypting Text Messages via Iris Recognition and Gaze Tracking Technology

This study explores the integration of eye-tracking technology, specifically the gaze point (GP3) eye tracker, to develop a novel encryption and decryption model that leverages an individual's unique eye patterns as a cryptographic key. This research addresses the critical problem of balancing user-friendly encryption mechanisms with robust security. This study aims to design a gaze-based encryption system that uses the eye's binary matrix as a dynamic encryption key. The methodology involves capturing an eye image, converting it into a binary matrix, and using the extracted matrix to generate a unique iris key (IK) applied to encrypt and decrypt text messages on the basis of gaze interaction. This study evaluates the proposed approach against metrics such as encryption and decryption time, key entropy, and resilience to cryptanalysis. The results demonstrate that the system achieves high levels of security, with the iris key offering sufficient randomness and robustness against brute-force attacks. The gaze-based mechanism reveals hidden text when the user interacts with specific characters, enhancing privacy. The proposed model integrates biometric authentication with real-time encryption, setting a foundation for future applications in secure communication systems. The proposed model provides safe, user-centric encryption and addresses key management challenges while harnessing the potential of gaze-based interaction.

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Institutions

Publication Details

Journal
Mesopotamian Journal of CyberSecurity
Published
2025-02-05
DOI
https://doi.org/10.58496/mjcs/2025/007
Citations
4
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
5.94
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article

Encrypting Text Messages via Iris Recognition and Gaze Tracking Technology

Sura Abed Sarab Hussien, Basim Najim Al-din Abed, Kamaran Adil Ibrahim
4 citations
Mesopotamian Journal of CyberSecurity
Biometric Identification and Security
5.94
article

Encrypting Text Messages via Iris Recognition and Gaze Tracking Technology

Sura Abed Sarab Hussien, Basim Najim Al-din Abed, Kamaran Adil Ibrahim
article en
4 citations

Abstract

This study explores the integration of eye-tracking technology, specifically the gaze point (GP3) eye tracker, to develop a novel encryption and decryption model that leverages an individual's unique eye patterns as a cryptographic key. This research addresses the critical problem of balancing user-friendly encryption mechanisms with robust security. This study aims to design a gaze-based encryption system that uses the eye's binary matrix as a dynamic encryption key. The methodology involves capturing an eye image, converting it into a binary matrix, and using the extracted matrix to generate a unique iris key (IK) applied to encrypt and decrypt text messages on the basis of gaze interaction. This study evaluates the proposed approach against metrics such as encryption and decryption time, key entropy, and resilience to cryptanalysis. The results demonstrate that the system achieves high levels of security, with the iris key offering sufficient randomness and robustness against brute-force attacks. The gaze-based mechanism reveals hidden text when the user interacts with specific characters, enhancing privacy. The proposed model integrates biometric authentication with real-time encryption, setting a foundation for future applications in secure communication systems. The proposed model provides safe, user-centric encryption and addresses key management challenges while harnessing the potential of gaze-based interaction.

Mesopotamian Journal of CyberSecurityVol. 5(1)
University of Baghdad (IQ), University of Tikrit (IQ), University of Diyala (IQ)
Openalex Percentile: Top 5%
Biometric Identification and Security
5.94
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Encrypting Text Messages via Iris Recognition and Gaze Tracking Technology — Sura Abed Sarab Hussien, Basim Najim Al-din Abed, et al. · Mesopotamian Journal of CyberSecurity (2025) | TGRS Research Map | TGRS