Advances in the Keystroke Dynamics: The Practical Impact of Database Quality

Mariusz Rybnik; Piotr Panasiuk; Khalid Saeed; Marcin Rogowski

doi:10.1007/978-3-642-33260-9_17

Advances in the Keystroke Dynamics: The Practical Impact of Database Quality

Mariusz Rybnik, Piotr Panasiuk, Khalid Saeed, Marcin Rogowski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

This paper concerns database quality in the Keystroke Dynamics domain. The authors present their own algorithm and test it using two databases: the authors’ own KDS database and Keystroke Dynamics - Benchmark Data Set online database. Following problems are studied theoretically and experimentally: classification accuracy, database representativeness, increase in typing proficiency and finally: time precision in samples acquisition. Results show that the impact of the database uniqueness on the experimental results is substantial and should not be disregarded in classification algorithm evaluation.

Original language	English (US)
Title of host publication	Computer Information Systems and Industrial Management
Publisher	Springer Berlin Heidelberg
Pages	203-214
Number of pages	12
ISBN (Print)	9783642332593
DOIs	https://doi.org/10.1007/978-3-642-33260-9_17
State	Published - 2012

Bibliographical note

KAUST Repository Item: Exported on 2021-04-13

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-33260-9_17

https://repository.kaust.edu.sa/bitstream/10754/668665/1/3_Conference%20Paperfile1.pdf

Cite this

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title = "Advances in the Keystroke Dynamics: The Practical Impact of Database Quality",

abstract = "This paper concerns database quality in the Keystroke Dynamics domain. The authors present their own algorithm and test it using two databases: the authors{\textquoteright} own KDS database and Keystroke Dynamics - Benchmark Data Set online database. Following problems are studied theoretically and experimentally: classification accuracy, database representativeness, increase in typing proficiency and finally: time precision in samples acquisition. Results show that the impact of the database uniqueness on the experimental results is substantial and should not be disregarded in classification algorithm evaluation.",

author = "Mariusz Rybnik and Piotr Panasiuk and Khalid Saeed and Marcin Rogowski",

note = "KAUST Repository Item: Exported on 2021-04-13",

year = "2012",

doi = "10.1007/978-3-642-33260-9_17",

language = "English (US)",

isbn = "9783642332593",

pages = "203--214",

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AU - Rybnik, Mariusz

AU - Panasiuk, Piotr

AU - Saeed, Khalid

AU - Rogowski, Marcin

N1 - KAUST Repository Item: Exported on 2021-04-13

PY - 2012

Y1 - 2012

N2 - This paper concerns database quality in the Keystroke Dynamics domain. The authors present their own algorithm and test it using two databases: the authors’ own KDS database and Keystroke Dynamics - Benchmark Data Set online database. Following problems are studied theoretically and experimentally: classification accuracy, database representativeness, increase in typing proficiency and finally: time precision in samples acquisition. Results show that the impact of the database uniqueness on the experimental results is substantial and should not be disregarded in classification algorithm evaluation.

AB - This paper concerns database quality in the Keystroke Dynamics domain. The authors present their own algorithm and test it using two databases: the authors’ own KDS database and Keystroke Dynamics - Benchmark Data Set online database. Following problems are studied theoretically and experimentally: classification accuracy, database representativeness, increase in typing proficiency and finally: time precision in samples acquisition. Results show that the impact of the database uniqueness on the experimental results is substantial and should not be disregarded in classification algorithm evaluation.

UR - http://hdl.handle.net/10754/668665

UR - http://link.springer.com/10.1007/978-3-642-33260-9_17

U2 - 10.1007/978-3-642-33260-9_17

DO - 10.1007/978-3-642-33260-9_17

M3 - Conference contribution

SN - 9783642332593

SP - 203

EP - 214

BT - Computer Information Systems and Industrial Management

PB - Springer Berlin Heidelberg

ER -

Advances in the Keystroke Dynamics: The Practical Impact of Database Quality

Abstract

Bibliographical note

ASJC Scopus subject areas

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