REAL – TIME BIOMETRIC AUTHENTICATION BASED ON KEY STROKE DYNAMICS
Journal of Critical Reviews · 2020
In this paper we discuss the ability to implement keystroke dynamics in a simple way by taking few, but effective, features and run the authentication session in a real-time manner. MATLAB 2019 is used to implement the keystroke biometrics and 15 people were included in the test aging from 20 to 30 years, and 10 samples are taken from each volunteer to train the Back Propagation Neural Network (BBNN) in order to classify the various entered patterns according to the obtained features. The results are satisfying were the FRR has a value of 27% and FAR is about 18%. This approach, named Simple but Effective (SbE), can be done using non-convenient features which in turn makes it unique, in addition to its simplicity that makes it relatively consumes less resources than previous experiments.