Recent Advances in the Development of a Long-Text-Input Keystroke Biometric Authentication System for Arbitrary Text Input

This study focuses on the development and evaluation of a new classification algorithm that halves the previously reported best error rate. Using keystroke data from 119 users, closed system performance was obtained as a function of the number of keystrokes per sample. The applications of interest are authenticating online student test takers and computer users in security sensitive environments. The authentication process operates on keystroke data windows as short as 1/2 minute. Performance was obtained on 119 test users compared to the previous maximum of 30. For each population size, the performance increases, and the equal error rate decreases, as the number of keystrokes per sample increases. Performance on 14, 30, and 119 users was 99.6%, 98.3%, and 96.3%, respectively, on 755-keystroke samples, indicating the potential of this approach. Because the mean population performance does not give the complete picture, the varied performance over the population of users was analyzed.

[1]  Sahin Albayrak,et al.  Continuous and non-intrusive identity verification in real-time environments based on free-text keystroke dynamics , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[2]  Roy A. Maxion,et al.  Comparing anomaly-detection algorithms for keystroke dynamics , 2009, 2009 IEEE/IFIP International Conference on Dependable Systems & Networks.

[3]  Sung-Hyuk Cha,et al.  Performance of a long-text-input keystroke biometric authentication system using an improved k-nearest-neighbor classification method , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[4]  Sung-Hyuk Cha,et al.  A Keystroke Biometric Systemfor Long-Text Input , 2010, Int. J. Inf. Secur. Priv..

[5]  Claudia Picardi,et al.  Keystroke analysis of free text , 2005, TSEC.

[6]  Sung-Hyuk Cha,et al.  Developing a Keystroke Biometric System for Continual Authentication of Computer Users , 2012, 2012 European Intelligence and Security Informatics Conference.

[7]  M. Akila,et al.  Biometric personal authentication using keystroke dynamics: A review , 2011, Appl. Soft Comput..

[8]  Sung-Hyuk Cha,et al.  A Keystroke Biometric System for Long-Text Input , 2013 .

[9]  Michael K. Reiter,et al.  Password hardening based on keystroke dynamics , 1999, CCS '99.

[10]  Sung-Hyuk Cha,et al.  On the Individuality of the Iris Biometric , 2005, ICIAR.

[11]  Michael Achatz,et al.  On the Design of an Authentication System Based on Keystroke Dynamics Using a Predefined Input Text , 2007, Int. J. Inf. Secur. Priv..

[12]  John J. Leggett,et al.  Dynamic Identity Verification via Keystroke Characteristics , 1991, Int. J. Man Mach. Stud..

[13]  E. Steele,et al.  Higher Education Opportunity Act , 2014 .

[14]  Sharath Pankanti,et al.  Guide to Biometrics , 2003, Springer Professional Computing.

[15]  Lee Luan Ling,et al.  Biometric Access Control Through Numerical Keyboards Based on Keystroke Dynamics , 2006, ICB.

[16]  Sung-Hyuk Cha,et al.  Writer Identification: Statistical Analysis and Dichotomizer , 2000, SSPR/SPR.

[17]  Baochang Zhang,et al.  Study on the BeiHang Keystroke Dynamics Database , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[18]  Chih-Ming Hsieh,et al.  The Effect of Keyboard Key Spacing on Typing Speed, Error, Usability, and Biomechanics, Part 2 , 2014, Hum. Factors.

[19]  Douglas A. Reynolds,et al.  SHEEP, GOATS, LAMBS and WOLVES A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation , 1998 .

[20]  Claudia Picardi,et al.  User authentication through keystroke dynamics , 2002, TSEC.

[21]  Kenneth Revett,et al.  Behavioral Biometrics: A Remote Access Approach , 2008 .

[22]  Xian Ke,et al.  Typing patterns: a key to user identification , 2004, IEEE Security & Privacy Magazine.

[23]  Christophe Rosenberger,et al.  Keystroke dynamics with low constraints SVM based passphrase enrollment , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.