Hello @alangshur @HarryMellsop,
the password example is ".tie5Ronal", which has a length of 10.
By the paper: Authio: Neural Network Authentication using Biometric Keystroke Dynamics, the raw-data should have 30 features. (Three for each character: Hold time, Up-Down time, and Down-Down time.) However, in raw-data.csv, each row contains 31 features.
I would like to ask three questions:
- Where does this extra feature coms from?
- Each user typed the password 400 times. Why does raw-data.csv categorize these 400 times into 8 groups, each group contains 50 times?
- Does the repository provide the code to generate this raw-data.csv?
Hello @alangshur @HarryMellsop,
the password example is ".tie5Ronal", which has a length of 10.
By the paper: Authio: Neural Network Authentication using Biometric Keystroke Dynamics, the raw-data should have 30 features. (Three for each character: Hold time, Up-Down time, and Down-Down time.) However, in raw-data.csv, each row contains 31 features.
I would like to ask three questions: