Keystroke dynamics as a biometric for authentication

By Fabian Monrose, Aviel D. Rubin. Future generations computer systems, 2000

823 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e3a1c9f0ab24bca56641722f406b753da62161d8

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In Computer Vision and Pattern Recognition

In Information Systems

In Signal Processing

Citations in the corpus

A review of biometric technology along with trends and prospects (2014, neutral): “Keystroke dynamics Keystroke duration, hold time, keystroke latency, speed, pressure, digraph latency, Nearest neighbor [219], SVM [220, 221], HMM [222], Manhattan distance [223], GMM [224], Euclidean distance [225], ANN [226228], Random forests [229], Fuzzy logic [230], GA [231], Mean & Standard de”
On the Feasibility of Internet-Scale Author Identification (2012, background): “Behavioral biometrics — voice [47], gait [48], handwriting [49], keystroke dynamics [50], etc.”
Authenticating mobile phone users using keystroke analysis (2006, methodology): “This technique, referred to as gradual training attempts to perform a similar function to early stopping [15], but for very small datasets (where it is not plausible to split the dataset from two into three).”
Identifying emotional states using keystroke dynamics (2011, methodology): “There have been fewer approaches [10,16,25] that use models based on free text (text that is not prescribed to the user), as they do not perform as well as fixed-text models [25].”
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…”
A Survey of Keystroke Dynamics Biometrics (2013, methodology): “For instance, [58] requested user to download an executable program into their own personal computer for data collection, while [59] implemented a JavaScript web-based client, where users are free to use any machine as long as it comes with a web browser.”
Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things (2022, methodology): “In terms of the network security, the authentication system based on keystroke dynamics has been proved to be an effective method, which can improve the security level according to the human typing attributes of noninvasive monitoring features [167, 173, 175, 176].”