Abstract
Multi-touch tablets can offer a large, collaborative space where several users can work on a task at the same time. However, the lack of privacy in these situations makes standard password-based authentication easily compromised. This work presents a new gesture-based authentication system based on users’ unique signature of touch motion when drawing a combination of one-stroke gestures following two different policies, one fixed for all users and the other selected by a model of control to maximize the expected long-term information gain. The system is able to achieve high user recognition accuracy with relatively few gestures, demonstrating that human touch patterns have a distinctive “signature” that can be used as a powerful biometric measure for user recognition and personalization.
Chapter PDF
Similar content being viewed by others
Keywords
- Support Vector Machine
- Latent Dirichlet Allocation
- Good Policy
- Dirichlet Distribution
- Intermediate Representation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Blei, D.M., Ng, A.Y., Jordan, M.I., Lafferty, J.: Latent dirichlet allocation. Journal of Machine Learning Research 3(2003) (2003)
Chang, C.-C., Lin, C.-J.: LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2, 27:1–27:27 (2011), Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
De Luca, A., Hang, A., Brudy, F., Lindner, C., Hussmann, H.: Touch me once and i know it’s you!: implicit authentication based on touch screen patterns. In: Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems, CHI 2012, pp. 987–996. ACM, New York (2012)
Dietz, P., Leigh, D.: Diamondtouch: A multi-user touch technology. In: ACM Symposium on User Interface Software and Technology (UIST), pp. 219–226. ACM Press (2001)
Lin, H.-T., Lin, C.-J., Weng, R.C.: A note on platt’s probabilistic outputs for support vector machines. Mach. Learn. 68, 267–276 (2007)
Movellan, J.: An infomax controller for real time detection of social contingency. In: Proceedings of the 4th International Conference on Development and Learning, pp. 19–24 (July 2005)
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 2012 ACM Annual Conference on Human Factors in Computing Systems, CHI 2012, pp. 977–986 (2012)
Platt, J.C.: Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Advances in Large Margin Classifiers, pp. 61–74. MIT Press (1999)
Rebguns, A., Ford, D., Fasel, I.: Infomax control for acoustic exploration of objects by a mobile robot. In: AAAI Workshop on Lifelong Learning. AAAI (2011)
Roth, V., Schmidt, P., G’́uldenring, B.: The ir ring: authenticating users’ touches on a multi-touch display. In: Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology, UIST 2010. ACM (2010)
Sehnke, F., Osendorfer, C., Rucksties, T., Graves, A., Peters, J., Schmidhuber, J.: Parameter-exploring policy gradients. In: Neural Networks, pp. 551–559 (2009)
Wang, Y., Sabzmeydani, P., Mori, G.: Semi-latent dirichlet allocation: A hierarchical model for human action recognition. In: 2nd Workshop on Human Motion Understanding, Modeling, Capture and Animation (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Peralta, R.T., Rebguns, A., Fasel, I.R., Barnard, K. (2013). Learning a Policy for Gesture-Based Active Multi-touch Authentication. In: Marinos, L., Askoxylakis, I. (eds) Human Aspects of Information Security, Privacy, and Trust. HAS 2013. Lecture Notes in Computer Science, vol 8030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39345-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-39345-7_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39344-0
Online ISBN: 978-3-642-39345-7
eBook Packages: Computer ScienceComputer Science (R0)