International Journal of Engineering and Technology

Major issue in computer security is the need to protect data and computer system from intruders. Hence user authentication is certainly an interesting option for standard security. Keystrokedynamics is a biometrics technique and it plays an important role in user authentication.It is based on the analysis of typing rhythm. In this paper the feature data values are recorded, Hausdroff timing values are calculated and stored as a dataset. Using the dataset the keystroke dynamics provide a more performance. The proposed Gray wolf optimization is used for feature selection. By providing sufficient training and testing the text length, number of dataset and same keyboard type, the keystroke biometric effectively identified the genuine user and impostor.