Secure unlocking of mobile touch screen devices by simple gestures - You can see it but you can not do it

Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Volumn , Issue , 2013, Pages 39-50

  Shahzad, Muhammad ^a   Liu, Alex X ^a   Samuel, Arjmand ^b  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Authentication; Gesture; Locking unlocking; Mobile touch screen devices

Indexed keywords

GESTURE; LOCKING/UNLOCKING; MOBILE COMPUTING DEVICES; MOBILE TOUCH SCREEN DEVICES; REAL WORLD EXPERIMENT; SENSITIVE APPLICATION; SENSITIVE INFORMATIONS; USER AUTHENTICATION SCHEME;

BEHAVIORAL RESEARCH; CRYPTOGRAPHY; LOCKS (FASTENERS); MOBILE COMPUTING; PERSONAL COMPUTING;

AUTHENTICATION;

EID: 84887096486     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2500423.2500434     Document Type: Conference Paper

References (20)

1. "25 leaked celebrity cell phone pics, " http://www.holytaco. com/25-leaked-celebrity-cell-phone-pics.
2. "The symantec smartphone honey stick project, ".
3. A. J. Aviv, K. Gibson, E. Mossop, M. Blaze, and J. M. Smith, "Smudge attacks on smartphone touch screens, " in Proc. 4th USENIX Conf. on Offensive technologies, 2010, pp. 1-10.
4. C.-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines, " ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3, 27:1-27, 2011.
5. M. Conti, I. Zachia-Zlatea, and B. Crispo, "Mind how you answer me!: Transparently authenticating the user of a smartphone when answering or placing a call, " in Proc. ACM Symposium on Information, Computer and Communications Security, 2011, pp. 249-259.
6. D. Gafurov, K. Helkala, and T. Søndrol, "Biometric gait authentication using accelerometer sensor, " Journal of computers, vol. 1, no. 7, pp. 51-59, 2006.
7. J. Joe H. Ward, "Hierarchical grouping to optimize an objective function, " Journal of the American statistical association, vol. 58, no. 301, pp. 236-244, 1963.
8. S. S. Keerthi and C.-J. Lin, "Asymptotic behaviors of support vector machines with gaussian kernel, " Neural computation, vol. 15, no. 7, pp. 1667-1689, 2003.
9. A. D. Luca, A. Hang, F. Brudy, C. Lindner, and H. Hussmann, "Touch me once and I know it's you!: implicit authentication based on touch screen patterns, " in Proc. ACM (SIGCHI), 2012.
10. K. Killourhy and R. Maxion, "Why did my detector do that?" in Proc. RAID, 2010.
11. J. Kwapisz, G. Weiss, and S. Moore, "Cell phone-based biometric identification, " in Proc. IEEE Int. Conf. on Biometrics: Theory Applications and Systems, 2010, pp. 1-7.
12. J. Mantyjarvi, M. Lindholm, E. Vildjiounaite, S. Makela, and H. Ailisto, "Identifying users of portable devices from gait pattern with accelerometers, " in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 2005.
13. F. Monrose, M. K. Reiter, and S. Wetzel. Password hardening based on keystroke dynamics. In Proc. ACM CCS, pages 73 - 82, 1999.
14. N. Sae-Bae, K. Ahmed, K. Isbister, and N. Memon. Biometric-rich gestures: A novel approach to authentication on multi-touch device. In Proc. ACM SIGCHI, 2012.
15. F. Schaub, R. Deyhle, and M. Weber, "Password entry usability and shoulder surfing susceptibility on different smartphone platforms, " in Proc. Mobile & Ubiquitous Multimedia, 2012.
16. B. Scḧolkopf, J. C. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson, "Estimating the support of a high-dimensional distribution, " Neural computation, vol. 13, no. 7, 2001.
17. M. Shahzad, S. Zahid, and M. Farroq, "A hybrid GA-PSO fuzzy system for user identification on smart phones, " in Proc. GECCO, 2009, pp. 1617-1624.
18. F. Tari, A. Ozok, and S. Holden, "A comparison of perceived and real shoulder-surfing risks between alphanumeric and graphical passwords, " in Proc. SOUPS, 2006, pp. 56-66.
19. S. Zahid, M. Shahzad, S. A. Khayam, and M. Farooq, "Keystroke-based user identification on smart phones, " in Proc. RAID, 2009.
20. N. Zheng, K. Bai, H. Huang, and H. Wang. You are how you touch: User verification on smartphones via tapping behaviors. Technical report, College of William and Mary, 2012.