User Identification through Hidden Markov Model-based Touch Keystroke Dynamics

Author:

Bilotti Umberto1,Bisogni Carmen1,Castiglione Aniello2,Nappi Michele1,Pero Chiara1

Affiliation:

1. University of Salerno Fisciano,Dept. of Computer Science,Salerno,Italy

2. University of Salerno Fisciano,Dept. of Management & Innovation Systems,Salerno,Italy

Publisher

IEEE

Reference14 articles.

1. An Evaluation of One-Class and Two-Class Classification Algorithms for Keystroke Dynamics Authentication on Mobile Devices

2. A tutorial on hidden Markov models and selected applications in speech recognition

3. The MOBIKEY Keystroke Dynamics Password Database: Benchmark Results

4. I sensed it was you: authenticating mobile users with sensor-enhanced keystroke dynamics;giuffrida;Detection of Intrusions and Malware and Vulnerability Assessment,2014

5. Continuous authentication on mobile devices by analysis of typing motion behavior;gascon;Sicherheit 2014–Sicherheit Schutz und Zuverlässigkeit,2014

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