Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Keystroke100 benchmark dataset is for research on keytroke dynamics and typing biometrics. This dataset contains keystroke/typing patterns of 100 users typing the password "tr...
Keystroke authentication is a biometric method utilizing the typing characteristics of users. In this paper, we propose an evolutionary method for stable keystroke authentication....
Keystroke typing characteristics is considered as one of the important biometric features that can be used to protect users against malicious attacks. In this paper we propose a s...
We present a novel approach to improving the security of passwords. In our approach, the legitimate user’s typing patterns (e.g., durations of keystrokes and latencies between ke...