Identity authentication based on keystroke latencies using a genetic adaptive neural network

Abstract

A system and method identify the person who is using a keyboard based on keystroke latencies as the person types certain key combinations. In some embodiments the latencies are monitored as the person types a password, while in others they are monitored as the person types other information and continues to use the computer. In some embodiments the identification yields a binary result (whether the latency profile matches the profile stored for a particular user), while in others a confidence level is given. A mismatch, or a confidence level below a particular threshold, results in a request for further identity verification, creation of a log entry, immediate notification of responsible personnel, or denial of access (or continued access).

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