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Keystroke Biometric Studies on Short and Long Input Including Numerics - Ned Bakelman
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Ned Bakelman:

Keystroke Biometric Studies on Short and Long Input Including Numerics - Taschenbuch

ISBN: 9783659624285

ID: 9783659624285

Intruder Detection using Keystroke Biometrics on Short Numeric Input and Long Text, Browser, and Spreadsheet Input 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. Keystroke Biometric Studies on Short and Long Input Including Numerics: 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., LAP Lambert Academic Publishing

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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
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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 - Taschenbuch

2014, ISBN: 9783659624285

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], 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., [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm

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Keystroke Biometric Studies on Short and Long Input Including Numerics - Ned Bakelman
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Ned Bakelman:
Keystroke Biometric Studies on Short and Long Input Including Numerics - neues Buch

ISBN: 9783659624285

ID: 616514311d625be87b175dc3493ffbfa

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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV

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Keystroke Biometric Studies on Short and Long Input Including Numerics - Bakelman, Ned
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Bakelman, Ned:
Keystroke Biometric Studies on Short and Long Input Including Numerics - neues Buch

2014, ISBN: 3659624284

ID: 17178840949

[EAN: 9783659624285], Neubuch, [PU: LAP Lambert Academic Publishing], New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Keystroke Biometric Studies on Short and Long Input Including Numerics - Bakelman Ned
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Bakelman Ned:
Keystroke Biometric Studies on Short and Long Input Including Numerics - Taschenbuch

2014, ISBN: 9783659624285

ID: 12602659647

Trade paperback, New., Trade paperback (US). Glued binding. 184 p. Contains: Illustrations, black & white., [PU: LAP Lambert Academic Publishing]

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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
Autor:

Ned Bakelman

Titel:

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

ISBN-Nummer:

9783659624285

Detailangaben zum Buch - 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


EAN (ISBN-13): 9783659624285
ISBN (ISBN-10): 3659624284
Taschenbuch
Erscheinungsjahr: 2014
Herausgeber: LAP LAMBERT Academic Publishing

Buch in der Datenbank seit 07.01.2015 17:38:23
Buch zuletzt gefunden am 30.10.2016 07:57:13
ISBN/EAN: 9783659624285

ISBN - alternative Schreibweisen:
3-659-62428-4, 978-3-659-62428-5

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