| Identity authentication based on keystroke latencies |
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Communications of the ACM
archive
Volume 33 , Issue 2 (February 1990)
table of contents
Pages: 168 - 176
Year of Publication: 1990
ISSN:0001-0782
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Downloads (6 Weeks): 28, Downloads (12 Months): 173, Citation Count: 22
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ABSTRACT
The variables that help make a handwritten signature a unique human identifier also provide a unique digital signature in the form of a stream of latency periods between keystrokes. This article describes a method of verifying the identity of a user based on such a digital signature, and reports results from trial usage of the system.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Gaines, R., Lisowski, W., Press, S., and Shapiro, N. Authentication by user performance time with interactive systems. commun. ACM NSF. Rand Corporation, Santa Monica, CA, 1980.
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Garcia, J. Personal identification apparatus. Patent Number 4,621,334. U.S. Patent and Trademark Office. Washington. D.C.. 1986.
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Joyce, R., and Gupta, G. User authentication based on keystroke latencies. Technical Report #5, Department of Computer Science, james Cook University, Australia, 1989.
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Urnphress, D., and Williams, G. Identity verification through keyboard characteristics. Int. J. Man-Machine Studies 23, 3 (Sept. 1985), 263-273.
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Young, J.R., and Hammon, R.W. Method and apparatus for verifying an individual's identity. Patent Number 4,805,222. U.S. Patent and Trademark Office, Washington, D.C., 1989.
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CITED BY 22
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Richard C. Thomas , Amela Karahasanovic , Gregor E. Kennedy, An investigation into keystroke latency metrics as an indicator of programming performance, Proceedings of the 7th Australasian conference on Computing education, p.127-134, January 01, 2005, Newcastle, New South Wales, Australia
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Ozlem Guven , Selim Akyokus , Mitat Uysal , Aykut Guven, Enhanced password authentication through keystroke typing characteristics, Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications, p.317-322, February 12-14, 2007, Innsbruck, Austria
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Kenneth Revett , Florin Gorunescu , Marina Gorunescu , Marius Ene , Sergio Tenreiro de Magalhaes , Henrique M. Dinis Santos, A machine learning approach to keystroke dynamics based user authentication, International Journal of Electronic Security and Digital Forensics, v.1 n.1, p.55-70, May 2007
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REVIEW
"Stanley A. Kurzban : Reviewer"
The authors present a thorough and useful description of their work
on the use of keystroke latencies (the intervals between successive
keystrokes) to authenticate the identity of a computer user.
Their approach requires each user
more...
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