Keystroke dynamics for authentication using dynamic time warping

Abstract

Stolen credential incident is rising nowadays, most of the cyber attacks have been targeting user credential which could be easily abused. The usage of behavioral biometric is predicted to be increasing in order to encounter such act by authenticating user using multi-factor authentication of both password and behavioral biometrics to stop illegitimate user attempt. Keystroke dynamics is a behavioral biometric that can be collected efficiently from user typing behavior. This research studied about keystroke dynamic authentication system using dynamic time warping, dataset is used in testing phase along with system usability questionnaire. The method results in 17.6% equal error rate and 70 points of system usability scale.