I am working on a biometric keystroke authentication project. It looks like a wrapper on top of your traditional password-based authentication. If the password is correct, it checks the "input-rhythm" and gives a positive result if it matches the user profile. In addition, a negative result is given. Typing-rhythm is checked by comparing some of the time characteristics that are retrieved when a password is entered. There are essentially 5 functions: PP (Press-Press time), PR (Release time), RP (Release-Press time), RR (Release-Release time) and Total time. PP - time between pressing two consecutive keys (characters). RR - time between releasing two consecutive keys. PR is the time during which a key has been pressed and released.RP is the time between releasing the key and then pressing the next key. Total time is the time between pressing the first password key and releasing the last password key.
I use the open source KeyStroke dynamics database based on GREYC-Webfor the project. Each data collection session contains the ASCII value of the pressed key and the time stamp for PP, PR, RP, RR and the total time. It also contains whether the user enters a password or an impostor. By collecting data, users were allowed to use their own password. Naturally, there are passwords of various lengths. In addition, the user can press additional keys (e.g., Shift, Caps, Backspace, Delete, etc.). Even for a specific user, different password entry sessions may have different password lengths. Note. The password length in this context is the total number of keys (characters) that the user entered. For example, if the actual user password is "abcd". In one session, he enters it correctly and the password is 4. In another session, he enters the following set of keys: a, l, BACKSPACE, b, c, d-, and,therefore, the password length is 6.

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