Recently, keystroke dynamics increasingly being a field of interest for researchers, where users can access different systems through their typing styles, which increases the level of security. This paper tends to implement a robust keystroke dynamics system; it tends to solve the problem of samples variations by using an adaptive threshold. The proposed system is evaluated using CMU dataset, and a new dataset created for this work. Results obtained are compared with others reported in literature and proved to have good performance.