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2016 | OriginalPaper | Buchkapitel

ITSME: Multi-modal and Unobtrusive Behavioural User Authentication for Smartphones

verfasst von : Attaullah Buriro, Bruno Crispo, Filippo Del Frari, Jeffrey Klardie, Konrad Wrona

Erschienen in: Technology and Practice of Passwords

Verlag: Springer International Publishing

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Abstract

In this paper, we propose a new multi-modal behavioural biometric that uses features collected while the user slide-unlocks the smartphone to answer a call. In particular, we use the slide swipe, the arm movement in bringing the phone close to the ear and voice recognition to implement our behaviour biometric. We implemented the method on a real phone and we present a controlled user study among 26 participants in multiple scenario’s to evaluate our prototype. We show that for each tested modality the Bayesian network classifier outperforms other classifiers (Random Forest algorithm and Sequential Minimal Optimization). The multimodal system using slide and pickup features improved the unimodal result by a factor two, with a FAR of 11.01 % and a FRR of 4.12 %. The final HTER was 7.57 %.

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Literatur
1.
2.
3.
4.
Wood, H.M.: The use of passwords for controlled access to computer resources, US Department of Commerce, National Bureau of Standards, vol. 500(9) (1977)
5.
6.
7.
Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recogn. Lett. 24(13), 2115–2125 (2003)CrossRef
8.
Kuncheva, L.I., Whitaker, C.J., Shipp, C.A., Duin, R.P.W.: Is independence good for combining classifiers?. In: Proceedings of 15th International Conference on Pattern Recognition. IEEE, vol. 2, pp. 168–171 (2000)
9.
Bhagavatula, C., Ur, B., Iacovino, K., Mon, K.S., Cranor, L.F., Savvides, M.: Biometric Authentication on iPhone and Android: Usability, Perceptions, and Influences on Adoption (2015)
10.
Jain, A., Flynn, P., Ross, A.A.: Handbook of Biometrics. Springer, New York (2007)
11.
Yampolskiy, R.V., Govindaraju, V.: Behavioural biometrics: a survey and classification. Int. J. Biometrics 1(1), 81–113 (2008)CrossRef
12.
Frank, M., Biedert, R., Ma, E., Martinovic, I., Song, D.: Touchalytics: on the applicability of touchscreen input as a behavioral biometric for continuous authentication. IEEE Trans. Inf. Forensics Secur. 8(1), 136–148 (2013)CrossRef
13.
De Luca, A., Hang, A., Brudy, F., Lindner, C., Hussman, H.: Touch me once and i know it’s you!: implicit authentication based on touch screen patterns. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, vol. 8(1), pp. 987–996 (2012)
14.
Angulo, J., Wästlund, E.: Exploring touch-screen biometrics for user identification on smart phones. In: Camenisch, J., Crispo, B., Fischer-Hübner, S., Leenes, R., Russello, G. (eds.) Privacy and Identity Management for Life. IFIP AICT, vol. 375, pp. 130–143. Springer, Heidelberg (2012)CrossRef
15.
Sae-Bae, N., Ahmed, K., Isbister, K., Memon, N.: Biometric-rich gestures: a novel approach to authentication on multi-touch devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 977–986 (2012)
16.
Derawi, M.O., Nickel, C., Bours, P., Busch, C.: Unobtrusive user-authentication on mobile phones using biometric gait recognition. In: Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, pp. 306–311 (2010)
17.
Tao, Q., Veldhuis, R.: Biometric authentication for a mobile personal device. In: 3rd Annual International Conference on Mobile and Ubiquitous Systems-Workshops. IEEE, pp. 1–3 (2006)
18.
Viola, P., Jones, M.: Robust real-time object detection. Int. J. Comput. Vis. 4, 34–47 (2001)
19.
Baek, C., Thirunavukkarasu, S., Underwood, B.S., Guddati, M.N., Kim, Y.R.: Top-down cracking prediction tool for hot mix asphalt pavements. In: Scarpas, A., Kringos, N., Al-Qadi, I., Loizos, A. (eds.) 7th RILEM International Conference on Cracking in Pavements. RILEM Bookseries, vol. 4, pp. 465–474. Springer, Heidelberg (2012)CrossRef
20.
Buriro, A., Crispo, B., Del Frari, F., Wrona, K.: Touchstroke: smartphone user authentication based on touch-typing biometrics. In: Murino, V., Puppo, E., Sona, D., Cristani, M., Sansone, C. (eds.) ICIAP 2015 Workshops. LNCS, vol. 9281, pp. 27–34. Springer, Heidelberg (2015)CrossRef
21.
Aronowitz, H., Li, M., Toledo-Ronen, O., Harary, S., Geva, A., Ben-David, S., Rendel, A., Hoory, R., Ratha, N., Pankanti, S.: Multi-modal biometrics for mobile authentication. IEEE International Joint Conference on Biometrics (IJCB). IEEE, pp. 1–8 (2014)
22.
Ferrer, M.A., Morales, A., Travieso, C.M., Alonso, J.B.: Low cost multimodal biometric identification system based on hand geometry, palm and finger print texture. In: 41st Annual IEEE International Carnahan Conference on Security Technology. IEEE, pp. 52–58 (2007)
23.
Kim, D.-J., Hong, K.-S.: Multimodal biometric authentication using teeth image and voice in mobile environment. IEEE Trans. Consum. Electr. 54(4), 1790–1797 (2008)MathSciNetCrossRef
24.
McCool, C., Marcel, S., Hadid, A., Pietikainen, M., Matejka, P., Cernocky, J., Poh, N., Kittler, J., Larcher, A., Levy, C.: Bi-modal person recognition on a mobile phone: using mobile phone data. In: IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, pp. 635–640 (2012)
25.
Bertillon, A.: Signaletic Instructions Including the Theory and Practice of Anthropometrical Identification. Werner Company, Chicago (2008)
26.
Sitova, Z., Sedenka, J., Yang, Q., Peng, G., Zhou, G., Gasti, P., Balagani, K.: HMOG: a new biometric modality for continuous authentication of smartphone users, arXiv preprint (2015). arxiv:​1501.​01199
27.
Poh, N., Bengio, S.: Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication, a review. Pattern Recogn. 39(2), 223–233 (2006)CrossRef
28.
Conti, M., Zachia-Zlatea, I., Crispo, B.: Mind how you answer me!: transparently authenticating the user of a smartphone when answering or placing a call. In: Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security, Science and Technology. ACM, pp. 249–259 (2011)
29.
Davis, S., Mermelstein, P.: Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoust. Speech Signal Process. 28(4), 357–366 (1980)CrossRef
30.
Logan, B.: Mel frequency cepstral coefficients for music modeling. In: ISMIR (2000)
31.
Metadaten
Titel
ITSME: Multi-modal and Unobtrusive Behavioural User Authentication for Smartphones
verfasst von
Attaullah Buriro
Bruno Crispo
Filippo Del Frari
Jeffrey Klardie
Konrad Wrona
Copyright-Jahr
2016
Verlag
Springer International Publishing
Buch
Technology and Practice of Passwords

Print ISBN: 978-3-319-29937-2

Electronic ISBN: 978-3-319-29938-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-29938-9_4