Time signatures - an implementation of Keystroke and click patterns for practical and secure authentication

The analysis of keystroke dynamics (KD) is a developing biometric technique for user authentication. In computer security, its use is limited to some constraints such as longer typing and practice sessions. In this paper, a practical user authentication system is proposed that combines a conventional login/password method and a said biometric technique. The conventional password authentication method is enhanced through analysis of keystroke dynamics (KD) and click patterns (CP). In this way increased security level is achieved without using long and complicated passwords. For this, an application is developed to demonstrate the technique and the results are analyzed. user time signatures (TS) are identified after analyzing user KD and CP. Based on ability to follow their specific TS, users are categorized into beginner, standard and expert. At the time of login, the user inputs are matched with respective database records for authentication.

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