Keyboard-behavior-based authentication

Patrick Juola; John I. Noecker; Ariel Stolerman; Michael V. Ryan; Patrick Brennan; Rachel Greenstadt

doi:10.1109/MITP.2013.49

Keyboard-behavior-based authentication

Patrick Juola, John I. Noecker, Ariel Stolerman, Michael V. Ryan, Patrick Brennan, Rachel Greenstadt

Research output: Contribution to journal › Article › peer-review

Abstract

The authors developed a large corpus of keyboard behavior based on temporary workers employed in a simulated office environment. Analysis of this corpus using stylometric techniques shows good accuracy in distinguishing users. This article is part of a special issue on security.

Original language	English (US)
Article number	6542626
Pages (from-to)	8-11
Number of pages	4
Journal	IT Professional
Volume	15
Issue number	4
DOIs	https://doi.org/10.1109/MITP.2013.49
State	Published - 2013

Keywords

DARPA
authentication
information technology
security
stylometric techniques

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Science Applications

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10.1109/MITP.2013.49

Cite this

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title = "Keyboard-behavior-based authentication",

abstract = "The authors developed a large corpus of keyboard behavior based on temporary workers employed in a simulated office environment. Analysis of this corpus using stylometric techniques shows good accuracy in distinguishing users. This article is part of a special issue on security.",

keywords = "DARPA, authentication, information technology, security, stylometric techniques",

author = "Patrick Juola and Noecker, {John I.} and Ariel Stolerman and Ryan, {Michael V.} and Patrick Brennan and Rachel Greenstadt",

year = "2013",

doi = "10.1109/MITP.2013.49",

language = "English (US)",

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AU - Juola, Patrick

AU - Noecker, John I.

AU - Stolerman, Ariel

AU - Ryan, Michael V.

AU - Brennan, Patrick

AU - Greenstadt, Rachel

PY - 2013

Y1 - 2013

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AB - The authors developed a large corpus of keyboard behavior based on temporary workers employed in a simulated office environment. Analysis of this corpus using stylometric techniques shows good accuracy in distinguishing users. This article is part of a special issue on security.

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KW - authentication

KW - information technology

KW - security

KW - stylometric techniques

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Keyboard-behavior-based authentication

Abstract

Keywords

ASJC Scopus subject areas

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