Keystroke dynamics in the pre-touchscreen era

Nasir Ahmad, Andrea Szymkowiak, Paul A. Campbell

Research output: Contribution to journalArticle

10 Citations (Scopus)
17 Downloads (Pure)

Abstract

Biometric authentication seeks to measure an individual’s unique physiological attributes for the purpose of identity verification. Conventionally, this task has been realized via analyses of fingerprints or signature iris patterns. However, whilst such methods effectively offer a superior security protocol compared with password-based approaches for example, their substantial infrastructure costs, and intrusive nature, make them undesirable and indeed impractical for many scenarios. An alternative approach seeks to develop similarly robust screening protocols through analysis of typing patterns, formally known as keystroke dynamics. Here, keystroke analysis methodologies can utilize multiple variables, and a range of mathematical techniques, in order to extract individuals’ typing signatures. Such variables may include measurement of the period between key presses, and/or releases, or even key-strike pressures. Statistical methods, neural networks, and fuzzy logic have often formed the basis for quantitative analysis on the data gathered, typically from conventional computer keyboards. Extension to more recent technologies such as numerical keypads and touch-screen devices is in its infancy, but obviously important as such devices grow in popularity. Here, we review the state of knowledge pertaining to authentication via conventional keyboards with a view toward indicating how this platform of knowledge can be exploited and extended into the newly emergent type-based technological contexts.
Original languageEnglish
Article number835
Number of pages10
JournalFrontiers in Human Neuroscience
Volume7
DOIs
Publication statusPublished - 19 Dec 2013

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Biometric Identification
Fuzzy Logic
Equipment and Supplies
Dermatoglyphics
Iris
Technology
Pressure
Costs and Cost Analysis

Cite this

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Keystroke dynamics in the pre-touchscreen era. / Ahmad, Nasir; Szymkowiak, Andrea; Campbell, Paul A.

In: Frontiers in Human Neuroscience, Vol. 7, 835, 19.12.2013.

Research output: Contribution to journalArticle

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