Unobservable Re-authentication for Smartphones

20th Annual Network and Distributed System Security Symposium, NDSS 2013

Volumn , Issue , 2013, Pages

  Li, Lingjun ^a   Zhao, Xinxin ^a   Xue, Guoliang ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTHENTICATION; MOBILE SECURITY; NETWORK SECURITY; SOCIAL NETWORKING (ONLINE);

'CURRENT; FINGER MOVEMENTS; IMPERSONATION ATTACK; MOVEMENT PATTERN; PRIVACY CONCERNS; PRIVATE INFORMATION; RE AUTHENTICATIONS; SECURITY AND PRIVACY; SMART PHONES; UNOBSERVABLE;

SMARTPHONES;

EID: 84899843809     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. A. Ahmed and I. Traore. Anomaly intrusion detection based on biometrics. In Information Assurance Workshop, 2005. IAW'05. Proceedings from the Sixth Annual IEEE SMC, pages 452-453. IEEE, 2005.
2. A. Ahmed and I. Traore. A new biometric technology based on mouse dynamics. IEEE Transactions on Dependable and Secure Computing, 4(3):165-179, 2007.
3. F. Bergadano, D. Gunetti, and C. Picardi. User authentication through keystroke dynamics. ACM Transactions on Information and System Security (TISSEC), 5(4):367-397, 2002.
4. Biometric Signature ID. BSI recommends all multi factor authentication include gesture biometrics to prevent data breaches to existing secure systems for highest cyber security. http://www.biosig-id.com/bsirecomm ends-all-multi-factor-authentication-include-gesture-biometrics-to-prevent-data-breaches-to-existing-secure-systems-for-highest-cyber-security/, 2012.
5. Canalys Inc. Smart phones overtake client PCs in 2011, http://www.canalys.com/newsroom/smartphones-overtake-client-pcs-2011, 2012.
6. C. Castelluccia and P. Mutaf. Shake them up!: a movement-based pairing protocol for cpu-constrained devices. In MobiSys, pages 51-64, 2005.
7. C.-C. Chang and C.-J. Lin. 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.
8. T. Clancy, N. Kiyavash, and D. Lin. Secure smartcardbased fingerprint authentication. In Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications, pages 45-52. ACM, 2003.
9. 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 Proceedings of ASIACCS2011, pages 249-259, Hong Kong, China, 2011. ACM.
10. H. Corrigan-Gibbs and B. Ford. Dissent: accountable anonymous group messaging. In Proceedings of the 17th ACM conference on Computer and Communications Security, pages 340-350. ACM, 2010.
11. A. De 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 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, pages 987-996. ACM, 2012.
12. B. Duc, S. Fischer, and J. Bigun. Face authentication with gabor information on deformable graphs. IEEE Transactions on Image Processing, 8(4):504-516, 1999.
13. H. Gamboa and A. Fred. A behavioral biometric system based on human-computer interaction. In Proceedings of SPIE, volume 5404, pages 381-392, 2004.
14. Google Inc. Android developer guide. http://developer.android.com/guide/basics/whatis-android.html, Feb 2012.
15. Google Inc. Android sensor manager, http://developer.android.com/reference/android/hardware/sensorma nager.html, Feb. 2012.
16. Jaden. iOS 5 iphone lockscreen glitch allows you to bypass password protection and explore the phone.app! http://www.ijailbreak.com/iphone/ios-5iphone-lockscreen-glitch/, Feb. 2012.
17. John A. How to reset your android lock screen password. http://droidlessons.com/how-to-reset-yourandroid-lock-screen-password/, Mar. 2012.
18. Z. Jorgensen and T. Yu. On mouse dynamics as a behavioral biometric for authentication. In Proceedings of the ASIACCS2011, pages 476-482, Hong Kong, China, 2011.
19. Lookout Inc. Mobile phone lost and found. https://www.lookout.com/resources/reports/mobilelost-and-found/billion-dollar-phone-bill, 2012.
20. J. Mantyjarvi, M. Lindholm, E. Vildjiounaite, S. Makela, and H. Ailisto. Identifying users of portable devices from gait pattern with accelerometers. In Proceedings of ICASSP'05, volume 2, pages ii-973. IEEE, 2005.
21. R. Mayrhofer and H. Gellersen. Shake well before use: Intuitive and secure pairing of mobile devices. IEEE Trans. Mob. Comput., 8(6):792-806, 2009.
22. F. Monrose, M. Reiter, and S. Wetzel. Password hardening based on keystroke dynamics. International Journal of Information Security, 1(2):69-83, 2002.
23. F. Monrose and A. Rubin. Authentication via keystroke dynamics. In Proceedings of the 4th ACM conference on Computer and communications security, pages 48-56. ACM, 1997.
24. Y. Nakkabi, I. Traoré, and A. Ahmed. Improving mouse dynamics biometric performance using variance reduction via extractors with separate features. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 40(6):1345-1353, 2010.
25. F. Okumura, A. Kubota, Y. Hatori, K. Matsuo, M. Hashimoto, and A. Koike. A study on biometric authentication based on arm sweep action with acceleration sensor. In Proceedings of ISPACS'06, pages 219-222. IEEE, 2006.
26. M. Pusara and C. Brodley. User re-authentication via mouse movements. In Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security, pages 1-8. ACM, 2004.
27. M. Qi, Y. Lu, J. Li, X. Li, and J. Kong. User-specific iris authentication based on feature selection. In Proceedings of ICCSSE 2008, volume 1, pages 1040-1043. IEEE, 2008.
28. H. Rydberg. Multi-touch protocol.. http://www.mjmwired.net/kernel/Documentation/input/multi-touch-protocol.txt, 2009.
29. R. Yampolskiy and V. Govindaraju. Behavioural biometrics: a survey and classification. International Journal of Biometrics, 1(1):81-113, 2008.
30. X. Zhao, L. Li, G. Xue, and G. Silva. Efficient anonymous message submission. In INFOCOM, 2012 Proceedings IEEE, pages 2228-2236, Orlando, FL, USA, March 2012. IEEE.
31. N. Zheng, A. Paloski, and H. Wang. An efficient user verification system via mouse movements. In Proceedings of ACM CCS2012, pages 139-150. ACM, 2011.