User Authentication Based on Keystroke Dynamics

References

• N. L. Clarke, and S. M. Furnell, “Advanced user authentication for mobile devices,” Comput. Sec, Vol. 26, no. 2, pp. 109–19, 2007.
   Web of Science ®Google Scholar
• D. Hosseinzadeh, S. Krishnan, and A. Khademi, “Keystroke identification based on Gaussian mixture models,” IEEE Int. Conf. Acoust. Speech Signal Process., Vol. 3, pp. 1144–7, 2006
   Google Scholar
• A. K. Jain, A. Ross, and S. Prabhakar, “An introduction to biometric recognition,” IEEE Trans. Circuits Syst. Video Technol. Special Issue Image Video-Based Biometr., Vol. 14, no. 1, pp. 1–29, 2004.
   Web of Science ®Google Scholar
• R. K. Das, S. Mukhopadhyay, and P. Bhattacharya, “Continuous multimodal biometric authentication for PC and handheld devices,” IETE J. Educ., Vol. 52, pp. 59–69, 2011.
   Google Scholar
• R. Gaines, W. Lisowski, S. Press, and N. Shapiro, “Authentication by keystroke timing: Some preliminary results (Report style),” Rand Corporation, Santa Monica, CA, Rand Rep. R-2560-NSF, pp. 1–52, 1980.
   Google Scholar
• R. Joyce, and G. Gupta, “Identity authentication based on keystroke latencies,” Commun. ACM, Vol. 33, no. 2, pp. 168–76, 1990.
   Web of Science ®Google Scholar
• F. Monrose, and A. Rubin, “Keystroke dynamics as a biometric for authentication,” Future Gener. Comput. Syst., Vol. 16, no. 4, pp. 351–9, 2000.
   Web of Science ®Google Scholar
• J. J. Leggett, and G. Williams, “Verifying identity via keystroke characteristics,” Int. J. Man Mach. Stud., Vol. 28, no. 1, pp. 67–76, 1988.
   Google Scholar
• R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. 2nd ed. Hoboken, NJ: Wiley, 2007.
   Google Scholar
• M. Obaidat, and B. Sadoun, “Verification of computer users using keystroke dynamics,” IEEE Trans. Syst. Man Cybern. Part B, Vol. 27, no. 2, pp. 261–9, 1997.
   PubMed Web of Science ®Google Scholar
• M. Brown, and S. J. Rogers, “User identification via keystroke characteristics of typed names using neural networks,” Int. J. Man Mach. Stud., Vol. 39, no. 6, pp. 999–1014, 1993.
   Google Scholar
• E. Yu, and S. Cho, “GA-SVM wrapper approach for feature subset selection in keystroke dynamics identity verification,” in Proceedings of the IEEE International Joint Conference on Neural Networks, Portland, Oregon, Jul. 2003, pp. 2253–7.
   Google Scholar
• W. Chen, and W. Chang, “Applying hidden Markov models to keystroke pattern analysis for password verification,” in Proceedings of the IEEE International Conference on Information Reuse and Integration (IRI), Las Vegas, Nov. 2004, pp. 467–74.
   Google Scholar
• S. Mandujano, and R. Soto, “Deterring password sharing: User authentication via fuzzy c-means clustering applied to keystroke biometric data,” in Proceedings of the Fifth Mexican International Conference on Computer Science (ECN04), Colima, Mexico, pp. 181–7.
   Google Scholar
• D. Hosseinzadeh, and S. Krishnan, “Gaussian mixture modeling of keystroke patterns for biometric applications,” IEEE Tran. Syst. Man Cybern. Part C, Vol. 38, no. 6, pp. 816–26, 2008.
   Google Scholar
• P. S. Teh, B. Andrew, and S. O. Thian, “Keystroke dynamics in password authentication enhancement,” Expert Syst. Appl., Vol. 37, pp. 8618–27, 2010.
   Web of Science ®Google Scholar
• C. M. Bishop, Pattern Recognition and Machine Learning. New York, NY: Springer, 2009.
   Google Scholar
• T. M. Mitchell, Machine Learning. New York, NY: McGraw-Hill Science, 1997.
   Google Scholar
• A. N. Kolmogorov, “On the representations of continuous functions of many variables by super positions of continuous functions of one variable and addition,” Dokl. Akad. Nauk. USSR, Vol. 114, no. 5, pp. 953–6, 1957.
   Google Scholar
• M. F. Moller, “A scaled conjugate gradient algorithm for fast supervised learning,” Neural Netw., Vol. 6, pp. 525–33, 1993.
   Web of Science ®Google Scholar
• L. Hong, and A. K. Jain, “ Integrating faces and fingerprints for personal identification,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 20, no. 12, 1998.
   Web of Science ®Google Scholar