User authentication through keystroke dynamics

By F. Bergadano, Daniele Gunetti, Claudia Picardi. TSEC, 2002

560 citations recorded by the source corpus.

Subfields: Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/6695bd3dc2412b86ffd35d99b46e8bb3b602274b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

In Signal Processing

Citations in the corpus

A New Biometric Technology Based on Mouse Dynamics (2007, background): “Behavioral biometric systems have experienced less success when compared to physiological systems mainly because of their strong variability over time [2].”
Biometric Authentication and Identification using Keystroke Dynamics: A Survey (2012, unknown): “[16].”
You Are How You Touch: User Verification on Smartphones via Tapping Behaviors (2014, background): “Keystroke dynamics, as one of the behavioral biometrics, has been extensively studied in distinguishing users by the way they type on a computer keyboard [3, 15, 24, 28].”
Identifying emotional states using keystroke dynamics (2011, background): “The length of the required training text varies between different studies; some require a few words [3] or full pages of text [15], which can create better performing models [4].”
Behavioural biometrics: a survey and classification (2008, background): “Keystroke dynamics is probably the most researched type of HCI-based biometric (Bergadano et al., 2002; Monrose and Rubin, 2000), with novel research taking place in different languages (Gunetti et al., 2005), for long text samples, (Bartolacci et al., 2005; Curtin et al., 2006) and for e-mail…”
Guide to Biometrics (2003, unknown): “[8] recently surveyed keystroke authentication.”
A Survey of Keystroke Dynamics Biometrics (2013, methodology): “It is also worth noticing that several terms for DT appeared in the literature such as duration time [43, 84] and hold time [45, 103].”