EyeAuth: smartphone user authentication via reflexive eye movements

Zhixiang HE , Jing CHEN , Kun HE , Cong WU , Xiangyu QU , Yangyang GU , Xiping SUN , Ruiying DU

Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (9) : 199810

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Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (9) : 199810 DOI: 10.1007/s11704-024-40827-7
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EyeAuth: smartphone user authentication via reflexive eye movements

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Zhixiang HE, Jing CHEN, Kun HE, Cong WU, Xiangyu QU, Yangyang GU, Xiping SUN, Ruiying DU. EyeAuth: smartphone user authentication via reflexive eye movements. Front. Comput. Sci., 2025, 19(9): 199810 DOI:10.1007/s11704-024-40827-7

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German R L, Barber K S. Consumer attitudes about biometric authentication: UT CID Report #18-03. Austin, TX, USA: The University of Texas at Austin Center for Identity, 2018

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G riffith H, L ohr D, A bdulin E, K omogortsev O . GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset. Scientific Data, 2021, 8( 1): 184

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Sluganovic I, Roeschlin M, Rasmussen K B, Martinovic I. Using reflexive eye movements for fast challenge-response authentication. In: Proceedings of 2016 ACM SIGSAC Conference on Computer and Communications Security. 2016, 1056–1067

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S luganovic I, R oeschlin M, R asmussen K B, M artinovic I . Analysis of reflexive eye movements for fast replay-resistant biometric authentication. ACM Transactions on Privacy and Security (TOPS), 2019, 22( 1): 4

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Zhang X C, Sugano Y, Bulling A. Evaluation of appearance-based methods and implications for gaze-based applications. In: Proceedings of 2019 CHI Conference on Human Factors in Computing Systems. 2019, 416

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