User Dependent Template Update for Keystroke Dynamics Recognition

被引：6
|
作者：
Mhenni, Abir [1 ,2 ,3 ]
Cherrier, Estelle [2 ]
Rosenberger, Christophe [2 ]
Ben Amara, Najoua Essoukri [3 ]
机构：
[1] Univ Tunis El Manar, ENIT, BP 94, Tunis 1068, Tunisia
[2] Normandie Univ, UNICAEN, ENSICAEN, CNRS,GREYC, F-14000 Caen, France
[3] Univ Sousse, ENISo, LATIS, BP 526, Sousse 4002, Tunisia
来源：
2018 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW) | 2018年
关键词：
Authentication; Password security; Keystroke dynamics; Adaptive strategy; Doddington Zoo; Users classification;
D O I：
10.1109/CW.2018.00066
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Regarding the fact that individuals have different interactions with biometric authentication systems, several techniques have been developed in the literature to model different users categories. Doddington Zoo is a concept of categorizing users behaviors into animal groups to reflect their characteristics with respect to biometric systems. This concept was developed for different biometric modalities including keystroke dynamics. The present study extends this biometric classification, by proposing a novel adaptive strategy based on the Doddinghton Zoo, for the recognition of the user's keystroke dynamics. The obtained results demonstrate competitive performances on significant keystroke dynamics datasets.
引用
收藏
页码：324 / 330
页数：7
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