|You are in:Home/Publications/User Authentication with Adaptive Keystroke Dynamics|
Ass. Lect. Shimaa Ibrahim Hassan Rizk :: Publications:
User Authentication with Adaptive Keystroke Dynamics
|Authors:||Shimaa I. Hassan, Mazen M. Selim, and Hala H. zayed|
|Full paper||Shimaa Ibrahim Hassan Rizk_User Authentication with Adaptive Keystroke Dynamics.pdf|
|Supplementary materials||Not Available|
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.