Keystroke recognition in user authentication using ANN based RGB histogram technique

In this paper, we introduce a novel authentication and discrimination system using artificial neural networks with RGB histograms. Concisely, we collect key codes and inter key times for passwords in register and login steps, colorize the keys to generate RGB histograms and train the histograms with neural networks to determine a password keystroke interval. training determined number of histograms, our proposed system has ability to test future logins and reject the histograms which are outside of the interval. Our proposed system have successfully granted 90% of real user attempts and rejected 90% of frauds.