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.
Agostino Cortesi; Nabendu Chaki; Khalid Saeed; Sławomir Wierzchoń. 11th International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2012, Venice, Italy. Springer, Lecture Notes in Computer Science, LNCS-7564, pp.203-214, 2012, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-33260-9_17〉
https://hal.inria.fr/hal-01551740
Contributeur : Hal Ifip
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Soumis le : vendredi 30 juin 2017 - 14:43:27
Dernière modification le : jeudi 4 octobre 2018 - 22:12:02
Document(s) archivé(s) le : lundi 22 janvier 2018 - 19:59:41
Mariusz Rybnik, Piotr Panasiuk, Khalid Saeed, Marcin Rogowski. Advances in the Keystroke Dynamics: The Practical Impact of Database Quality. Agostino Cortesi; Nabendu Chaki; Khalid Saeed; Sławomir Wierzchoń. 11th International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2012, Venice, Italy. Springer, Lecture Notes in Computer Science, LNCS-7564, pp.203-214, 2012, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-33260-9_17〉. 〈hal-01551740〉
