Abstract
The topic of data security is increasingly transferred to the field of biomedicine and health care. In Hospital Information Systems, we put great emphasis on the fact that each user need their own login information and also to have set different editing rights for individual users on the system.
After realizing all the risks that entails the use of these systems, there is also the need for multifactor security of sensitive patient data. Very nice compromise that offers a high level of security without unreasonable burdening of staff, is our application that uses multi-factor security (user name + password + keystroke dynamics when entering a password).
Keystroke dynamics is a behavioural biometric characteristic that captures the dynamics of typing. This means detecting the times at which the keys were pressed with milliseconds precision.
Its advantage is the data collection directly from the operation system of the computer, without any delay. The results show that it is possible to use this characteristic to distinguish the individual user with an accuracy of 93 %.