Keystroke Biometric Studies on Short and Long Input Including Numerics: Intruder Detection using Keystroke Biometrics on Short Numeric Input and Long Text, Browser, and Spreadsheet Input - Couverture souple
Synopsis
A keystroke biometric system was enhanced to capture raw keystroke data directly from an individual’s computer system using an open source key logger originally designed for software testing. The key logger runs in the background capturing keystrokes directly from the operating system requiring no additional capture software, text entry window, or edit box for input. This allows the freedom to generate unrestricted entry from any application installed on a system. Long input data were collected from 20 participants using spreadsheet, browser, and text applications. Subjects were mainly students at the University and free to type whatever they desired without using copy tasks in any of these experimental scenarios. Short input data simulating a ten digit passcode were also collected from 30 participants each entering the same digit sequence strictly from the numeric keypad section of the keyboard. Verification experiments using novel approaches regarding feature sets and classification methods were run on both the unrestricted long input samples and static short passcode input. ROC curves were generated for each experiment using Equal Error Rate as the essential performance measure.
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Keystroke Biometric Studies on Short and Long Input Including Numerics
Edité par
LAP LAMBERT Academic Publishing Okt 2014, 2014
ISBN 10 : 3659624284
ISBN 13 : 9783659624285
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A keystroke biometric system was enhanced to capture raw keystroke data directly from an individual's computer system using an open source key logger originally designed for software testing. The key logger runs in the background capturing keystrokes directly from the operating system requiring no additional capture software, text entry window, or edit box for input. This allows the freedom to generate unrestricted entry from any application installed on a system. Long input data were collected from 20 participants using spreadsheet, browser, and text applications. Subjects were mainly students at the University and free to type whatever they desired without using copy tasks in any of these experimental scenarios. Short input data simulating a ten digit passcode were also collected from 30 participants each entering the same digit sequence strictly from the numeric keypad section of the keyboard. Verification experiments using novel approaches regarding feature sets and classification methods were run on both the unrestricted long input samples and static short passcode input. ROC curves were generated for each experiment using Equal Error Rate as the essential performance measure. 184 pp. Englisch. N° de réf. du vendeur 9783659624285
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Keystroke Biometric Studies on Short and Long Input Including Numerics
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659624284
ISBN 13 : 9783659624285
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. N° de réf. du vendeur 5169175
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Keystroke Biometric Studies on Short and Long Input Including Numerics
Edité par
LAP LAMBERT Academic Publishing Okt 2014, 2014
ISBN 10 : 3659624284
ISBN 13 : 9783659624285
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A keystroke biometric system was enhanced to capture raw keystroke data directly from an individual's computer system using an open source key logger originally designed for software testing. The key logger runs in the background capturing keystrokes directly from the operating system requiring no additional capture software, text entry window, or edit box for input. This allows the freedom to generate unrestricted entry from any application installed on a system. Long input data were collected from 20 participants using spreadsheet, browser, and text applications. Subjects were mainly students at the University and free to type whatever they desired without using copy tasks in any of these experimental scenarios. Short input data simulating a ten digit passcode were also collected from 30 participants each entering the same digit sequence strictly from the numeric keypad section of the keyboard. Verification experiments using novel approaches regarding feature sets and classification methods were run on both the unrestricted long input samples and static short passcode input. ROC curves were generated for each experiment using Equal Error Rate as the essential performance measure.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. N° de réf. du vendeur 9783659624285
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Keystroke Biometric Studies on Short and Long Input Including Numerics : Intruder Detection using Keystroke Biometrics on Short Numeric Input and Long Text, Browser, and Spreadsheet Input
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 3659624284
ISBN 13 : 9783659624285
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A keystroke biometric system was enhanced to capture raw keystroke data directly from an individual's computer system using an open source key logger originally designed for software testing. The key logger runs in the background capturing keystrokes directly from the operating system requiring no additional capture software, text entry window, or edit box for input. This allows the freedom to generate unrestricted entry from any application installed on a system. Long input data were collected from 20 participants using spreadsheet, browser, and text applications. Subjects were mainly students at the University and free to type whatever they desired without using copy tasks in any of these experimental scenarios. Short input data simulating a ten digit passcode were also collected from 30 participants each entering the same digit sequence strictly from the numeric keypad section of the keyboard. Verification experiments using novel approaches regarding feature sets and classification methods were run on both the unrestricted long input samples and static short passcode input. ROC curves were generated for each experiment using Equal Error Rate as the essential performance measure. N° de réf. du vendeur 9783659624285
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EUR 71,90
Expédition à EUR 61,46
Expédition depuis Allemagne vers Etats-Unis
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