WristSnoop: Smartphone PINs prediction using smartwatch motion sensors

2015 IEEE International Workshop on Information Forensics and Security, WIFS 2015 - Proceedings

Volumn , Issue , 2015, Pages

  Sarkisyan, Allen ^a   Debbiny, Ryan ^a   Nahapetian, Ani ^a  

^a CALIFORNIA STATE UNIVERSITY   (United States)

Author keywords

keystroke inference; mobile malware; mobile security; PIN prediction; smartwatches; Wearable computing

Indexed keywords

COMPUTER CRIME; FORECASTING; MALWARE; MOBILE SECURITY; SIGNAL ENCODING; SMARTPHONES; WEARABLE COMPUTERS; WEARABLE TECHNOLOGY;

KEYSTROKE INFERENCE; MOBILE MALWARE; MOTION SENSORS; RECENT RESEARCHES; SECURITY RISKS; SMARTWATCHES; USER ACTIVITY; WEARABLE COMPUTING;

WEARABLE SENSORS;

EID: 84964773311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIFS.2015.7368569     Document Type: Conference Paper

References (13)

1. A. J. Aviv, B. Sapp, M. Blaze, and J. M. Smith, "Practicality of accelerometer side channels on smartphones," in Proceedings of the 28th Annual Computer Security Applications Conference. ACM, 2012, pp. 41-50.
2. Z. Xu, K. Bai, and S. Zhu, "Taplogger: Inferring user inputs on smartphone touchscreens using on-board motion sensors," in Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks. ACM, 2012, pp. 113-124.
3. L. Cai and H. Chen, "Touchlogger: Inferring keystrokes on touch screen from smartphone motion." in HotSec, 2011.
4. E. Owusu, J. Han, S. Das, A. Perrig, and J. Zhang, "Accessory: password inference using accelerometers on smartphones," in Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications. ACM, 2012, p. 9.
5. "Android Developer API Guides security permissions," http://developer.android.com/guide/topics/security/permissions.html, accessed: 2015-06-25.
6. W. Enck, P. Gilbert, S. Han, V. Tendulkar, B.-G. Chun, L. P. Cox, J. Jung, P. McDaniel, and A. N. Sheth, "Taintdroid: an information flow tracking system for realtime privacy monitoring on smartphones,"ACM Transactions on Computer Systems (TOCS), vol. 32, no. 2, p. 5, 2014.
7. M. Backes, M. Durmuth, and D. Unruh, "Compromising reflections-or-how to read lcd monitors around the corner," in Security and Privacy, 2008. SP 2008. IEEE Symposium on. IEEE, 2008, pp. 158-169.
8. C. Cornelius, J. Sorber, R. Peterson, J. Skinner, R. Halter, and D. Kotz, "Who wears me? bioimpedance as a passive biometric," in Proc. 3rd USENIX Workshop on Health Security and Privacy, 2012.
9. M. Backes, M. Dürmuth, S. Gerling, M. Pinkal, and C. Sporleder, "Acoustic side-channel attacks on printers." in USENIX Security Symposium, 2010, pp. 307-322.
10. P. Marquardt, A. Verma, H. Carter, and P. Traynor, "(sp) iphone: decoding vibrations from nearby keyboards using mobile phone accelerometers,"in Proceedings of the 18th ACM conference on Computer and communications security. ACM, 2011, pp. 551-562.
11. H. Wang, T. Tsung-Te Lai, and R. R. Choudhury, "Mole: Motion leaks through smartwatch sensors," in Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. ACM, 2015, pp. 155-166.
12. A. Parate, M.-C. Chiu, C. Chadowitz, D. Ganesan, and E. Kalogerakis, "Risq: Recognizing smoking gestures with inertial sensors on a wristband," in Proceedings of the 12th annual international conference on Mobile systems, applications, and services. ACM, 2014, pp. 149-161.
13. D. Moazen, S. Sajjadi, A. Nahapetian. "AirDraw: Leveraging Smart Watch Motion Sensors for Mobile Human Computer Interactions," in Proceedings of the 12th annual internationl Consumer Communications and Networking Conference (CCNC), IEEE, 2016.