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2018 | OriginalPaper | Buchkapitel

Biometric Identification Using Gaze and Mouse Dynamics During Game Playing

verfasst von : Paweł Kasprowski, Katarzyna Harezlak

Erschienen in: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety

Verlag: Springer International Publishing

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Abstract

The paper presents a method, developed for identifying people based on their mouse and gaze dynamics obtained between two mouse clicks. The data used to evaluate the method was collected when participants were playing a simple shooting game. Various statistics were calculated taking mouse and gaze speed and acceleration into account. 24 participants took part in the experiment conducted to check if the proposed method may be applied for identification and authentication purposes. Although, the obtained averaged results (EER 11% and F1-score 90%) showed that statistics calculated for a combination of recorded mouse and gaze positions may be successfully used for authenticating people, it must be noticed that there were significant differences in performance among participants. For about half of them the results were satisfactory, with the best EER 4% and F1-score 99%, while for the worst participant EER equal to 23% and F1-score to 76% were obtained. These results suggest that finding one set of features that is suitable for every person may be a challenging task. It may imply that for behavioral biometric building separate sets of features for each enrolled person should be considered.

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Vorheriges Kapitel Improved Data Analysis, a Step Towards Factory 4.0 - A Preliminary Study in a Car Assembly Plant

Ahmed, A.A.E., Traore, I.: A new biometric technology based on mouse dynamics. IEEE Trans. Dependable Secure Comput. 4(3), 165–179 (2007)CrossRef

Asha, S., Chellappan, C.: Authentication of e-learners using multimodal biometric technology. In: International Symposium on Biometrics and Security Technologies 2008, ISBAST 2008, pp. 1–6. IEEE (2008)

Bailey, K.O., Okolica, J.S., Peterson, G.L.: User identification and authentication using multi-modal behavioral biometrics. Comput. Secur. 43, 77–89 (2014)CrossRef

Biedert, R., Frank, M., Martinovic, I., Song, D.: Stimuli for gaze based intrusion detection. In: Park, J., Leung, V., Wang, C.L., Shon, T. (eds.) Future Information Technology, Application, and Service. LNEE, vol. 164, pp. 757–763. Springer, Netherlands (2012). https://doi.org/10.1007/978-94-007-4516-2_80CrossRef

Calix, K., Connors, M., Levy, D., Manzar, H., MCabe, G., Westcott, S.: Stylometry for e-mail author identification and authentication. In: Proceedings of CSIS Research Day, Pace University (2008)

Connaughton, R., Bowyer, K.W., Flynn, P.J.: Fusion of face and iris biometrics. In: Burge, M., Bowyer, K. (eds.) Handbook of Iris Recognition. ACVPR, pp. 219–237. Springer, London (2013). https://doi.org/10.1007/978-1-4471-4402-1_12CrossRef

Conti, V., Militello, C., Sorbello, F., Vitabile, S.: A frequency-based approach for features fusion in fingerprint and iris multimodal biometric identification systems. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 40(4), 384–395 (2010)CrossRef

Darwish, A., Pasquier, M.: Biometric identification using the dynamic features of the eyes. In: 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp. 1–6. IEEE (2013)

Deravi, F., Guness, S.P.: Gaze trajectory as a biometric modality. In: BIOSIGNALS, pp. 335–341 (2011)

10.

Gamboa, H., Fred, A.: A behavioral biometric system based on human-computer interaction. In: Defense and Security, pp. 381–392. International Society for Optics and Photonics (2004)

11.

Harezlak, K., Rzeszutek, J., Kasprowski, P.: The eye tracking methods in user interfaces assessment. In: Neves-Silva, R., Jain, L.C., Howlett, R.J. (eds.) Intelligent Decision Technologies. SIST, vol. 39, pp. 325–335. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19857-6_29CrossRef

12.

Hashiaa, S., Pollettb, C., Stampc, M., Hall, M.: On using mouse movements as a biometric (2005)

13.

Holland, C., Komogortsev, O.V.: Biometric identification via eye movement scanpaths in reading. In: 2011 International Joint Conference on Biometrics (IJCB), pp. 1–8. IEEE (2011)

14.

Jorgensen, Z., Yu, T.: On mouse dynamics as a behavioral biometric for authentication. In: Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security, pp. 476–482. ACM (2011)

15.

Kasprowski, P.: Mining of eye movement data to discover people intentions. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2014. CCIS, vol. 424, pp. 355–363. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06932-6_34CrossRef

16.

Kasprowski, P., Harezlak, K.: Fusion of eye movement and mouse dynamics for reliable behavioral biometrics. Pattern Anal. Appl. 21(1), 91–103 (2018)MathSciNetCrossRef

17.

Kasprowski, P., Komogortsev, O.V., Karpov, A.: First eye movement verification and identification competition at BTAS 2012. In: 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp. 195–202. IEEE (2012)

18.

Kasprowski, P., Ober, J.: Eye movements in biometrics. In: Maltoni, D., Jain, A.K. (eds.) BioAW 2004. LNCS, vol. 3087, pp. 248–258. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-25976-3_23CrossRef

19.

Kinnunen, T., Sedlak, F., Bednarik, R.: Towards task-independent person authentication using eye movement signals. In: Proceedings of the 2010 Symposium on Eye-Tracking Research and Applications, pp. 187–190. ACM (2010)

20.

Komogortsev, O.V., Jayarathna, S., Aragon, C.R., Mahmoud, M.: Biometric identification via an oculomotor plant mathematical model. In: Proceedings of the 2010 Symposium on Eye-Tracking Research and Applications, pp. 57–60. ACM (2010)

21.

Maeder, A.J., Fookes, C.B.: A visual attention approach to personal identification (2003)

22.

Mehrotra, H., Rattani, A., Gupta, P.: Fusion of iris and fingerprint biometric for recognition. In: Proceedings of International Conference on Signal and Image Processing, pp. 1–6 (2006)

23.

de Oliveira, P.X., et al.: Mouse movement biometric system. In: Proceedings of the CSIS Research Day (2013)

24.

Pusara, M., Brodley, C.E.: User re-authentication via mouse movements. In: Proceedings of the 2004 ACM Workshop on Visualization and Data Mining for Computer Security, pp. 1–8. ACM (2004)

25.

Rigas, I., Economou, G., Fotopoulos, S.: Biometric identification based on the eye movements and graph matching techniques. Pattern Recogn. Lett. 33(6), 786–792 (2012)CrossRef

26.

Rigas, I., Komogortsev, O.V.: Biometric recognition via probabilistic spatial projection of eye movement trajectories in dynamic visual environments. IEEE Trans. Inf. Forensics Secur. 9(10), 1743–1754 (2014)CrossRef

27.

Rose, J., Liu, Y., Awad, A.: Biometric authentication using mouse and eye movement data. J. Cyber Secur. Mob. 6(1), 1–16 (2017)CrossRef

28.

Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recogn. Lett. 24(13), 2115–2125 (2003)CrossRef

29.

Wang, Y., Tan, T., Jain, A.K.: Combining face and iris biometrics for identity verification. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 805–813. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-44887-X_93CrossRef

Titel: Biometric Identification Using Gaze and Mouse Dynamics During Game Playing
verfasst von: Paweł Kasprowski
Katarzyna Harezlak
Verlag: Springer International Publishing
Buch: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety
Print ISBN: 978-3-319-99986-9

Electronic ISBN: 978-3-319-99987-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-99987-6_38

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