… In this paper, we investigate the use of a behavioural biometric based on keystroke
dynamics. Although there are several implementations of keystroke dynamics available – their …

… In this paper, the keystroke dynamics based authentication was tested using .tie5Roanl
password and the best classification performance metrics obtained were from the SVM RBF …

… On the other hand, keystroke dynamics-based systems achieve very high … keystroke
dynamics is proposed in this paper. A dataset was created by acquiring both keystroke dynamics …

… conducted a research in dynamic keystroke for user authentication using self… keystroke
dynamics identity verification and found that GA-SVM was resulting a good accuracy and learning …

… of keystroke dynamics is likely to increase in the near future. In this research, we analyze
various keystroke dynamics data and train machine learning and deep learning models to …

… The use of machine learning (ML). KDA for data classification is a comparatively … machine
learning algorithm in the domain of user authentication system based on keystroke dynamics. …

… This research contributes to the field of keystroke dynamics by providing … machine learning
models for user authentication. The findings underscore the potential of keystroke dynamics …

… machine learning. We recorded the latencies between keystrokes and taught machine
learning algorithms the datasets to determine if the pattern can be learnable by the machine. We …

… The second objective of this study is to compare ML algorithms for mobile CA using
keystroke dynamics. Since the CA problem is a classification problem that aims to tell apart …

… Hence in this work, the focus is to apply these machine learning algorithms on different
features of Keystroke Dynamics other than the ones currently being used in literature. Fuzzy …