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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rudrapal DwijenThe 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 Res. N° de réf. du vendeur 5472154
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783844316988
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Keystroke Patterns | An efficient biometric for authentication | Dwijen Rudrapal (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783844316988 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106143040
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