HMOG: A New Biometric Modality for Continuous Authentication of Smartphone Users.
作者： Paolo Gasti , Jaroslav Sedenka , Zdenka Sitova , Ge Peng , Qing Yang
DOI:
关键词: Embedded system 、 Computer science 、 Biometrics 、 Modality (human–computer interaction) 、 Computer vision 、 Key generation 、 Key (cryptography) 、 Keystroke logging 、 Authentication 、 Artificial intelligence 、 Feature extraction
摘要: In this paper, we introduce Hand Movement, Orientation, and Grasp (HMOG), a behavioral biometric to continuously authenticate smartphone users. HMOG unobtrusively captures subtle micro-movement orientation dynamics resulting from how user grasps, holds, taps on the smartphone. We evaluated authentication key generation (BKG) performance of features typing data collected 100 subjects. Data was under two conditions: sitting walking. achieved EERs as low 6.92% (walking) 10.20% (sitting) when combined HMOG, tap, keystroke features. performed additional experiments investigate why perform well during Our results suggest that is due ability capture distinctive body movements caused by walking, in addition hand-movement taps. With BKG, 13.7% using with comparison, BKG hold, swipe led between 31.3% 36.7%. also analyzed energy consumption feature extraction computation. analysis shows extracted at 16Hz sensor sampling rate incurred minor overhead 7.9% without sacrificing accuracy.
arxiv.org参考文章(29)
Sung-Jung Cho, Hyunjeong Lee, Wook Chang, Joonah Park, Kee-Eung Kim, Sangryong Kim, Youngbeom Lee, Junghyun Shim, Hand grip pattern recognition for mobile user interfaces innovative applications of artificial intelligence. pp. 1789- 1794 ,(2006)
Seny Kamara, Lucas Ballard, Michael K. Reiter, The practical subtleties of biometric key generation usenix security symposium. pp. 61- 74 ,(2008)
Satipati Chatterjee, Bidyut Jyoti Chowdhuri, Comparison of grip strength and isomeric endurance between the right and left hands of men and their relationship with age and other physical parameters. Journal of human ergology. ,vol. 20, pp. 41- 50 ,(1991) , 10.11183/JHE1972.20.41
I.M. Fiebert, K.E. Roach, J.W. Fromdahl, J.D. Moyer, F.F. Pfeiffer, Relationship between hand size, grip strength and dynamometer position in women Journal of Back and Musculoskeletal Rehabilitation. ,vol. 10, pp. 137- 142 ,(1998) , 10.3233/BMR-1998-10305
Elena Vildjiounaite, Satu-Marja Mäkelä, Mikko Lindholm, Reima Riihimäki, Vesa Kyllönen, Jani Mäntyjärvi, Heikki Ailisto, Unobtrusive Multimodal Biometrics for Ensuring Privacy and Information Security with Personal Devices Lecture Notes in Computer Science. pp. 187- 201 ,(2006) , 10.1007/11748625_12
Hassan Khan, Aaron Atwater, Urs Hengartner, Itus: an implicit authentication framework for android acm/ieee international conference on mobile computing and networking. pp. 507- 518 ,(2014) , 10.1145/2639108.2639141
Chao Shen, Zhongmin Cai, Xiaohong Guan, Youtian Du, R. A. Maxion, User Authentication Through Mouse Dynamics IEEE Transactions on Information Forensics and Security. ,vol. 8, pp. 16- 30 ,(2013) , 10.1109/TIFS.2012.2223677
Jacob O. Wobbrock, Brad A. Myers, Htet Htet Aung, The performance of hand postures in front- and back-of-device interaction for mobile computing International Journal of Human-computer Studies \/ International Journal of Man-machine Studies. ,vol. 66, pp. 857- 875 ,(2008) , 10.1016/J.IJHCS.2008.03.004
Zhixian Yan, Vigneshwaran Subbaraju, Dipanjan Chakraborty, Archan Misra, Karl Aberer, Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach international symposium on wearable computers. pp. 17- 24 ,(2012) , 10.1109/ISWC.2012.23
R. A. FISHER, THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS Annals of Human Genetics. ,vol. 7, pp. 179- 188 ,(1936) , 10.1111/J.1469-1809.1936.TB02137.X