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2016 | OriginalPaper | Buchkapitel

Keystroke Dynamics: Authenticating Users by Typing Pattern

verfasst von : Abhimanyu, Tripti Rathee

Erschienen in: Smart Trends in Information Technology and Computer Communications

Verlag: Springer Nature Singapore

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Abstract

With exponentially increasing users and crucial information accumulation over the internet, it has become a necessity to introduce a system which is powerful in terms of providing protection, and effective in cost required in authentication process. Biometrics is the only thing that cannot be stolen or copied as every human being has their own unique features that cannot be imitated by any intruder. The only disadvantage of biometrics authentication process, the need of additional devices is removed in the proposed system. This method can make the computer uniquely identify a user by typing behavior and defeat intruders. As accurate as any other biometric security technique, keystroke biometrics is cost effective because it does not require any additional hardware. In this paper a new system is introduced having keystrokes biometric added with password hardening techniques as an effective authentication method to defeat intrusion attempts.

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Literatur
2.
Zurück zum Zitat Karnan, M., Akilab, M., Krishnarajc, N.: Biometric personal authentication using keystroke dynamics: a review. Appl. Soft. Comput. 11, 1565–1573 (2011)CrossRef Karnan, M., Akilab, M., Krishnarajc, N.: Biometric personal authentication using keystroke dynamics: a review. Appl. Soft. Comput. 11, 1565–1573 (2011)CrossRef
3.
Zurück zum Zitat Gaines, R.S., Lisowski, W., Press, S.J., et al.: Authentication by keystroke timing: Some preliminary results. Rand Corp, Santa Monica CA (1980) Gaines, R.S., Lisowski, W., Press, S.J., et al.: Authentication by keystroke timing: Some preliminary results. Rand Corp, Santa Monica CA (1980)
4.
Zurück zum Zitat Young, J.R., Hammon, R.W.: Method and apparatus for verifying an individual’s identity. U. S. Patent No. 4, 805, 222. U.S. Patent and Trademark Office, Washington, DC (1989) Young, J.R., Hammon, R.W.: Method and apparatus for verifying an individual’s identity. U. S. Patent No. 4, 805, 222. U.S. Patent and Trademark Office, Washington, DC (1989)
5.
Zurück zum Zitat Monrose, F., Rubin, A.D.: Keystroke dynamics as a biometric for authentication, future gener. Comput. Syst. 16, 351–359 (2000) Monrose, F., Rubin, A.D.: Keystroke dynamics as a biometric for authentication, future gener. Comput. Syst. 16, 351–359 (2000)
6.
Zurück zum Zitat Peacock, A., Ke, X., Wilkerson, M.: Typing pattern: a key to user identification. MIT. IEEE Secur. Priv. 2, 40–47 (2004)CrossRef Peacock, A., Ke, X., Wilkerson, M.: Typing pattern: a key to user identification. MIT. IEEE Secur. Priv. 2, 40–47 (2004)CrossRef
7.
Zurück zum Zitat Hu, J., Gingrich, D., Sentosa, A.: A k-nearest neighbor approach for user authentication through biometric keystroke dynamics. In: IEEE Conference on Communications, pp. 1556–1560 (2008) Hu, J., Gingrich, D., Sentosa, A.: A k-nearest neighbor approach for user authentication through biometric keystroke dynamics. In: IEEE Conference on Communications, pp. 1556–1560 (2008)
8.
Zurück zum Zitat Giroux, S., Wachowiak-Smolikova, R., Wachowiak, M.P.: Keystroke-based authentication by key press intervals as a complementary behavioral biometric. In: IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, USA (2009) Giroux, S., Wachowiak-Smolikova, R., Wachowiak, M.P.: Keystroke-based authentication by key press intervals as a complementary behavioral biometric. In: IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, USA (2009)
9.
Zurück zum Zitat Germain, R.S., Califano, A., Colville, S.: Fingerprint matching using transformation parameter clustering. IEEE Comput. Sci. Eng. 4, 42–49 (1997)CrossRef Germain, R.S., Califano, A., Colville, S.: Fingerprint matching using transformation parameter clustering. IEEE Comput. Sci. Eng. 4, 42–49 (1997)CrossRef
10.
Zurück zum Zitat Wang, Y., Hu, J., Philip, D.: A fingerprint orientation model based on 2D Fourier Expansion (FOMFE) and its application to singular-point detection and fingerprint Indexing. Special Issue on Biometrics: Progress and Directions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 573–585 (2007) Wang, Y., Hu, J., Philip, D.: A fingerprint orientation model based on 2D Fourier Expansion (FOMFE) and its application to singular-point detection and fingerprint Indexing. Special Issue on Biometrics: Progress and Directions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 573–585 (2007)
11.
Zurück zum Zitat Hosseinzadeh, D., Krishnan, S.: Gaussian mixture modeling of keystroke patterns for biometric applications. IEEE Trans. Syst. Man Cybernetics—Part C: Appl. Rev. 38 (2008) Hosseinzadeh, D., Krishnan, S.: Gaussian mixture modeling of keystroke patterns for biometric applications. IEEE Trans. Syst. Man Cybernetics—Part C: Appl. Rev. 38 (2008)
12.
Zurück zum Zitat Spillane, R.: Keyboard apparatus for personal identification. IBM Tech. Discl. Bull. 17, 3346 (1975) Spillane, R.: Keyboard apparatus for personal identification. IBM Tech. Discl. Bull. 17, 3346 (1975)
Metadaten
Titel
Keystroke Dynamics: Authenticating Users by Typing Pattern
verfasst von
Abhimanyu
Tripti Rathee
Copyright-Jahr
2016
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-10-3433-6_46