A multi-technique approach for user identification through keystroke dynamics

Legitimate user authentication is an important part of the problems related to computer and system security. The maintenance of security becomes even more difficult when an invalid user gets the system access information. The paper presents a suite of techniques for password authentication using neural networks, fuzzy logic, statistical methods, and several hybrid combinations of these approaches. The approaches presented in the paper use typing biometrics of a user, in addition to conventional login information, to identify a user.