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...
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...
In this paper we report an approach for cryptographic key generation based on keystroke dynamics and the k-medoids algorithm. The stages that comprise the approach are training-enr...
—Traditional authentication systems employed on Internet are facing an acute problem of intrusions. In this context we propose a neural architecture for user authentication throu...