title: A survey of keystroke dynamics biometrics.
abstract: Research on keystroke dynamics biometrics has been increasing, especially in the last decade. The main motivation behind this effort is due to the fact that keystroke dynamics biometrics is economical and can be easily integrated into the existing computer security systems with minimal alteration and user intervention. Numerous studies have been conducted in terms of data acquisition devices, feature representations, classification methods, experimental protocols, and evaluations. However, an up-to-date extensive survey and evaluation is not yet available. The objective of this paper is to provide an insightful survey and comparison on keystroke dynamics biometrics research performed throughout the last three decades, as well as offering suggestions and possible future research directions.
authors.affiliation: School of Computer Science, University of Lincoln, LN6 7TS, UK.
authors.forename: Pin Shen
authors.initials: PS
authors.lastname: Teh
authors.forename: Andrew Beng Jin
authors.initials: AB
authors.lastname: Teoh
authors.forename: Shigang
authors.initials: S
authors.lastname: Yue
mesh_terms: D056667:Biometric Identification / Q000379:methods*; D016494:Computer Security; D006801:Humans; D009048:Motor Skills / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D014584:User-Computer Interface