Enhanced password authentication through fuzzy logic

Abstract

The authors have developed a software methodology that improves security by using typing biometrics to reinforce password authentication mechanisms. Typing biometrics is the analysis of a user's keystroke patterns. Each user has a unique way of using the keyboard to enter a password; for example, each user types the characters that constitute the password at different speeds. The methodology employs fuzzy logic to measure the user's typing biometrics. This reinforcement is transparent-indiscernible to the users while they are entering the normal authentication.