Keystroke Patterns - Rudrapal, Dwijen;Das, Smita
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This book addresses the analysis of user typing rhythm i.e keystroke dynamics and strengthen categorize of individuals. Keystroke dynamics is the process of analyzing the way, a user types on a keyboard and identify him based on his habitual typing rhythm. One user typing pattern may be unique because of similar neuro- physiological factors that make written signature different. Various features and measures of keystroke dynamics exist to authenticate users. This book describes one methodology of identifying individuals more efficiently by enhancement of keystroke credentials. This book made…mehr

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Produktbeschreibung
This book addresses the analysis of user typing rhythm i.e keystroke dynamics and strengthen categorize of individuals. Keystroke dynamics is the process of analyzing the way, a user types on a keyboard and identify him based on his habitual typing rhythm. One user typing pattern may be unique because of similar neuro- physiological factors that make written signature different. Various features and measures of keystroke dynamics exist to authenticate users. This book describes one methodology of identifying individuals more efficiently by enhancement of keystroke credentials. This book made one thorough analysis of user keystroke features like hold time, key flight time, pressed character etc. Based on these features some unique value has calculated to strengthen the user profile. To support the depicted methodology, experiment result has presented which associated with success and failure rate. The result discussed with plotted graph and easy text to make better understand ability of the reader. To facilitate easy understanding the text and the experiment result have been put in simpler form. This will certainly help the readers to understand the subject in better way.
Autorenporträt
The author is presently working as Assistant Professor in Computer Science & Engineering Department in National Institute of Technology Agartala,INDIA. He has more than 6.5 years working experience in Teaching with Research articles on biometrics. He has 1 year IT industry experience. His current field of research interest is Keystroke dynamics.