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

被引：0
|
作者：
Rybnik, Mariusz [1 ]
Panasiuk, Piotr [2 ]
Saeed, Khalid [2 ]
Rogowski, Marcin [3 ]
机构：
[1] Univ Bialystok, Bialystok, Poland
[2] AGH Univ Sci & Technol, Krakow, Poland
[3] King Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia
来源：
COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT (CISIM) | 2012年 / 7564卷
关键词：
keystroke dynamics; identification; authentication; behavioral science; biometrics; computer security;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：203 / 214
页数：12
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