User identification of numerical keypad typing patterns with subtractive clustering fuzzy inference

Password security of user accounts is a major concern in today's fast moving and advanced computing world with password authentication the most commonly used identification mechanism. Its security can be enhanced using typing biometrics as a transparent layer of user authentication. This paper describes a password hardening mechanism that is able to recognize different users based on their time latencies. Our research focuses on only using the time period between keystrokes as the measure of the individual's typing pattern. Seven individuals used the same 7-digit password which allowed the system to record the time interval between each digit. Identification improvements up to 3% were achieved with Subtractive Clustering Fuzzy Inference when rule conflicts were removed.

[1]  Stephen L. Chin.  An Efficient Method for Extracting Fuzzy Classification Rules from High Dimensional Data , 1997, J. Adv. Comput. Intell. Intell. Informatics.

[2]  April Khademi,et al.  Keystroke Identification Based on Gaussian Mixture Models , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[3]  William Stallings,et al.  Cryptography and Network Security: Principles and Practice , 1998 .

[4]  Mark P. Wachowiak,et al.  Keystroke-based authentication by key press intervals as a complementary behavioral biometric , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[5]  Roy A. Maxion,et al.  Keystroke biometrics with number-pad input , 2010, 2010 IEEE/IFIP International Conference on Dependable Systems & Networks (DSN).

[6]  Kevin Warwick,et al.  User-Friendly Free-Text Keystroke Dynamics Authentication for Practical Applications , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[7]  M. S. Obaidat,et al.  Keystroke Dynamics Based Authentication , 1996 .

[8]  Stephen L. Chiu,et al.  Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..

[9]  Navdeep Kaur,et al.  Keystroke dynamics based user authentication using numeric keypad , 2017, 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence.

[10]  Markus Dürmuth,et al.  Useful password hashing: how to waste computing cycles with style , 2013, NSPW '13.

[11]  Salvador Mandujano,et al.  Deterring password sharing: user authentication via fuzzy c-means clustering applied to keystroke biometric data , 2004, Proceedings of the Fifth Mexican International Conference in Computer Science, 2004. ENC 2004..